DOCSLIB.ORG

Consumer Perception of Wood Surfaces: the Relationship Between Stated Preferences and Visual Homogeneity

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Consumer Perception of Wood Surfaces: the Relationship Between Stated Preferences and Visual Homogeneity J Wood Sci (2010) 56:276–283 © The Japan Wood Research Society 2010 DOI 10.1007/s10086-009-1104-7 ORIGINAL ARTICLE Olav Høibø · Anders Q. Nyrud Consumer perception of wood surfaces: the relationship between stated preferences and visual homogeneity Received: July 6, 2009 / Accepted: December 21, 2009 / Published online: March 23, 2010 Abstract Information about people’s preferences as to wood products and to building design and construction. wood products is of relevance to several decision makers in More knowledge about the appearance of wood can provide the forest sector. Studies revealing consumer preference competitive advantages for the forest industry and will also, provide information that can be used for marketing and if applied to the development of new products in accor- manufacturing of wood products, but these also provide dance with consumers’ needs and requirements, improve information of relevance to designers and decision makers consumer satisfaction and welfare. Preference studies are involved in building design and construction processes. Pre- also relevant from a psychological point of view. vious studies show that the overall harmony of the visual Results from previous preference studies indicate that surface is correlated with preference. In this study, per- people’s preferences are affected by product attributes. ceived visual homogeneity is modeled for fi ve copper- Brandt and Shook1 conducted a comprehensive review of impregnated and fi ve organic biocide-impregnated decking previous attribute research on forest products and con- materials with different visual quality. The models are cluded that consumers’ quality attributions with respect to based on visual variables. Homogeneity is a function of forest products can usually be ascribed to the visual and material-dependent variables (dry knots, knot shape, and tactile, i.e., tangible, properties of the wood. A few studies splay knot), production-dependent variables (stain), and had also evaluated the importance of intangible attributes, surplus color, which is a combination of both wood property such as service and environmental impact. Furthermore, and treatment. The results imply that homogeneity is infl u- Brandt and Shook1 found only a few published articles that enced by both wood properties and treatment. Producers had studied end-consumers’ preferences. of decking should, while maintaining a focus on using high- A few studies have investigated the relationship between quality raw material, also focus on producing a product with preferences and physical wood properties. In general, these an unstained appearance. studies have concluded that homogeneous visual proper- ties, for example, wood surfaces with few and evenly dis- Key words Sawnwood · Preservative treatment · Consumer persed knots and an even growth ring pattern, are preferred preference · Sensory analysis · Homogeneity by consumers.2–5 Preference studies are relevant to the industry because they reveal consumers’ taste and prefer- ences, but results from analytical models are particularly Introduction important because these studies can be used to predict con- sumer preferences. Studies that reveal consumers’ preferences provide relevant An important aspect with respect to consumer prefer- information to decision makers in the forest sector, with ence is the relationship between wood properties and the respect both to the manufacturing and the marketing of aesthetic properties of the material. There is evidence that architects and construction designers choose wooden build- ing materials because wood is perceived as aesthetically appealing,6 but there is little knowledge concerning which O. Høibø (*) wood properties of the wood are related to aesthetic char- Department of Ecology and Natural Resource Management, acteristics and how they are related. A model developed by Norwegian University of Life Sciences, P.O. Box 5003, NO-1432 Aas, Broman3 provides insights into the formation of preference Norway Tel. +47-64-96-5800; Fax +47-64-96-5801 for solid wood products, but so far it has not been empiri- e-mail: [email protected] cally validated. Broman claimed that there were three prop- A.Q. Nyrud erties of wood that infl uenced consumer preference: Norwegian Institute of Wood Technology, NO-0314 Oslo, Norway harmony, activity, and social status. In this article, the rela- 277 tionship between consumer preferences and perceived side of the deck. The pith side of the boards faced up. Five homogeneity is modeled. material samples were made for each decking product. The present study evaluates consumers’ preferences for Both decking products were from pressure-treated wooden decking products. Wooden decking and other wood, but because of the treatment method the visual prop- outdoor wood applications are usually made from preser- erties of the sample deckings differed. Treatment method vative-treated wood or naturally durable wood (e.g., heart- affects wood properties such as color and wood density. The wood from pine or oak). Preservative-treated wood is wood properties of the raw material used to produce pre- usually pressure-treated using water-based or petroleum- servative-treated products can infl uence the visual proper- based preservatives, but in recent years modifi ed wood ties of the fi nal products; hence, the boards selected for the products have also been commercially available, for sample deckings were sorted according to wood quality. example, heat-treated wood, acetylated wood, and furfury- Wood properties differ with the quality of the sawnwood lated wood. In the present study, two pressure-treated used as raw material. Pressure-treated wood products are decking materials were included: Cu-treated wood, for usually made from sawnwood with a large share of sapwood, which a traditional copper treatment was used, and wood which infl uences the quality. The ten material samples are subjected to metal-free treatment, a new product without described in Table 1. Figure 1 shows photographs of the toxic metal preservatives. different samples. Both wood properties and product properties affected by the manufacturing process are studied and modeled after 3 Sensory analysis the concept of harmony. Thus, this study provides new information about how raw material properties relate to Sensory analysis is a method for identifi cation and measure- end products, how they affect consumer preferences, and ment of product attributes perceived by sight, sound, smell, how treatment and manufacturing processes infl uence con- taste, and touch.7 Sensory methods are classifi ed according sumer preferences. Results from the study can be used to to their primary use; usually a distinction is drawn between improve products made from treated wood, and they also analytical methods, with the purpose of providing objective provide information of relevance to the product develop- descriptions of products (analytical sensory profi ling), and ment and innovation processes. hedonic methods, in which the purpose is to retrieve infor- mation about consumers’ preferences and attitudes toward products (hedonic profi ling).8 Previous experience indicates Materials and methods that sensory analysis can be applied to wood products.5,9,10 The sensory panel consisted of 11 assessors (judges) who Ten material samples were evaluated by a sensory panel were trained in defi ning, understanding, and evaluating consisting of trained sensory assessors and approximately product attributes in general. In a discussion with the asses- 120 potential consumers. Thus, two data sets were available sors taking different Nordic visual grading rules into for analysis: (1) descriptive sensory data and (2) stated pref- account, a list of 23 attributes was chosen. It was empha- erence from potential customers. Two wooden decking sized that the different attributes should be possible to products, made of Scots pine (Pinus sylvestris), that had judge by means of a scale from 1 to 9. The method was used been subjected to two different pressure treatments, were by Nyrud et al.5 Before the study, all the assessors were used: copper treatment (Wolmanit) and organic biocide screened for their ability to discriminate between wood treatment (Metal Free). The material samples that were samples with small variations in the intensity of the given evaluated by the sensory profi lers and customers were made attribute. All members of the panel were allowed to evalu- to resemble outdoor residential decks. These sample decks ate the samples at individual speed, and the results were were rectangular, measuring 1000 × 62 × 0 mm, and con- recorded on a 15-cm nonstructured scale. The left side of sisted of fi ve parallel boards, each measuring 1000 × 120 × the nonstructured scale corresponded to the lowest inten- 28 mm, fastened to two perpendicular boards on the under- sity and had a score equal to 1. The rightmost side of the Table 1. Description of material samples Decking ID number Treatment Description of the quality 117 Copper Few small-sized sound knots 285 Copper Medium-sized sound knots 331 Copper Large annual rings, board with pith 593 Copper Many failures, dry medium-sized knots 939 Copper Some rotten and dry knots 730 Organic biocide Small-sized sound knots 480 Organic biocide Medium-sized sound knots 174 Organic biocide Large-sized sound knots 564 Organic biocide Board with pith 42 Organic biocide Many failures and dry knots ID, identifi cation All deckings were made of Scots pine 278 Fig. 1. Photographs of the deckings investigated, which are described by the
Load more

Recommended publications
  • Primena Statistike U Kliničkim Istraţivanjima Sa Osvrtom Na Korišćenje Računarskih Programa
    UNIVERZITET U BEOGRADU MATEMATIČKI FAKULTET Dušica V. Gavrilović Primena statistike u kliničkim istraţivanjima sa osvrtom na korišćenje računarskih programa - Master rad - Mentor: prof. dr Vesna Jevremović Beograd, 2013. godine Zahvalnica Ovaj rad bi bilo veoma teško napisati da nisam imala stručnu podršku, kvalitetne sugestije i reviziju, pomoć prijatelja, razumevanje kolega i beskrajnu podršku porodice. To su razlozi zbog kojih želim da se zahvalim: . Mom mentoru, prof. dr Vesni Jevremović sa Matematičkog fakulteta Univerziteta u Beogradu, koja je bila ne samo idejni tvorac ovog rada već i dugogodišnja podrška u njegovoj realizaciji. Njena neverovatna upornost, razne sugestije, neiscrpni optimizam, profesionalizam i razumevanje, predstavljali su moj stalni izvor snage na ovom master-putu. Članu komisije, doc. dr Zorici Stanimirović sa Matematičkog fakulteta Univerziteta u Beogradu, na izuzetnoj ekspeditivnosti, stručnoj recenziji, razumevanju, strpljenju i brojnim korisnim savetima. Članu komisije, mr Marku Obradoviću sa Matematičkog fakulteta Univerziteta u Beogradu, na stručnoj i prijateljskoj podršci kao i spremnosti na saradnju. Dipl. mat. Radojki Pavlović, šefu studentske službe Matematičkog fakulteta Univerziteta u Beogradu, na upornosti, snalažljivosti i kreativnosti u pronalaženju raznih ideja, predloga i rešenja na putu realizacije ovog master rada. Dugogodišnje prijateljstvo sa njom oduvek beskrajno cenim i oduvek mi mnogo znači. Dipl. mat. Zorani Bizetić, načelniku Data Centra Instituta za onkologiju i radiologiju Srbije, na upornosti, idejama, detaljnoj reviziji, korisnim sugestijama i svakojakoj podršci. Čak i kada je neverovatno ili dosadno ili pametno uporna, mnogo je i dugo volim – skoro ceo moj život. Mast. biol. Jelici Novaković na strpljenju, reviziji, bezbrojnim korekcijama i tehničkoj podršci svake vrste. Hvala na osmehu, budnom oku u sitne sate, izvrsnoj hrani koja me je vraćala u život, nes-kafi sa penom i transfuziji energije kada sam bila na rezervi.
    [Show full text]
  • Comparison of Hyperspectral Imaging and Near-Infrared Spectroscopy to Determine Nitrogen and Carbon Concentrations in Wheat
    remote sensing Article Comparison of Hyperspectral Imaging and Near-Infrared Spectroscopy to Determine Nitrogen and Carbon Concentrations in Wheat Iman Tahmasbian 1,* , Natalie K. Morgan 2, Shahla Hosseini Bai 3, Mark W. Dunlop 1 and Amy F. Moss 2 1 Department of Agriculture and Fisheries, Queensland Government, Toowoomba, QLD 4350, Australia; Scopus affiliation ID: 60028929; [email protected] 2 School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia; [email protected] (N.K.M.); [email protected] (A.F.M.) 3 Centre for Planetary Health and Food Security, School of Environment and Science, Griffith University, Brisbane, QLD 4111, Australia; s.hosseini-bai@griffith.edu.au * Correspondence: [email protected] Abstract: Hyperspectral imaging (HSI) is an emerging rapid and non-destructive technology that has promising application within feed mills and processing plants in poultry and other intensive animal industries. HSI may be advantageous over near infrared spectroscopy (NIRS) as it scans entire samples, which enables compositional gradients and sample heterogenicity to be visualised and analysed. This study was a preliminary investigation to compare the performance of HSI with that of NIRS for quality measurements of ground samples of Australian wheat and to identify the most important spectral regions for predicting carbon (C) and nitrogen (N) concentrations. In total, 69 samples were scanned using an NIRS (400–2500 nm), and two HSI cameras operated in Citation: Tahmasbian, I.; Morgan, 400–1000 nm (VNIR) and 1000–2500 nm (SWIR) spectral regions. Partial least square regression N.K; Hosseini Bai, S.; Dunlop, M.W; (PLSR) models were used to correlate C and N concentrations of 63 calibration samples with their Moss, A.F Comparison of spectral reflectance, with 6 additional samples used for testing the models.
    [Show full text]
  • Construction of a Neuro-Immune-Cognitive Pathway-Phenotype Underpinning the Phenome Of
    Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 20 October 2019 doi:10.20944/preprints201910.0239.v1 Construction of a neuro-immune-cognitive pathway-phenotype underpinning the phenome of deficit schizophrenia. Hussein Kadhem Al-Hakeima, Abbas F. Almullab, Arafat Hussein Al-Dujailic, Michael Maes d,e,f. a Department of Chemistry, College of Science, University of Kufa, Iraq. E-mail: [email protected]. b Medical Laboratory Technology Department, College of Medical Technology, The Islamic University, Najaf, Iraq. E-mail: [email protected]. c Senior Clinical Psychiatrist, Faculty of Medicine, Kufa University. E-mail: [email protected]. d* Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; e Department of Psychiatry, Medical University of Plovdiv, Plovdiv, Bulgaria; f IMPACT Strategic Research Centre, Deakin University, PO Box 281, Geelong, VIC, 3220, Australia. Corresponding author Prof. Dr. Michael Maes, M.D., Ph.D. Department of Psychiatry Faculty of Medicine Chulalongkorn University Bangkok Thailand 1 © 2019 by the author(s). Distributed under a Creative Commons CC BY license. Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 20 October 2019 doi:10.20944/preprints201910.0239.v1 https://scholar.google.co.th/citations?user=1wzMZ7UAAAAJ&hl=th&oi=ao [email protected]. 2 Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 20 October 2019 doi:10.20944/preprints201910.0239.v1 Abstract In schizophrenia, pathway-genotypes may be constructed by combining interrelated immune biomarkers with changes in specific neurocognitive functions that represent aberrations in brain neuronal circuits. These constructs provide insight on the phenome of schizophrenia and show how pathway-phenotypes mediate the effects of genome X environmentome interactions on the symptomatology/phenomenology of schizophrenia.
    [Show full text]
  • Predicting Plant Species Richness and Vegetation Patterns in Cultural Landscapes Using Disturbance Parameters
    Agriculture, Ecosystems and Environment 122 (2007) 446–452 www.elsevier.com/locate/agee Predicting plant species richness and vegetation patterns in cultural landscapes using disturbance parameters C. Buhk a,*, V. Retzer b, C. Beierkuhnlein b, A. Jentsch a a Disturbance Ecology and Vegetation Dynamics, Helmholtz Centre for Environmental Research – UFZ, Permoserstr. 15, 04318 Leipzig, Germany and Bayreuth University, 95440 Bayreuth, Germany b Biogeography, University of Bayreuth, Universita¨tsstr. 30, 95440 Bayreuth, Germany Received 1 August 2006; received in revised form 22 February 2007; accepted 27 February 2007 Available online 24 April 2007 Abstract A new methodological framework for plant diversity assessment at the landscape scale is presented that exhibits the following strengths: (1) potential for easily standardizable sampling procedure; (2) characterization of disturbance regime; (3) use of selected disturbance descriptors as explanatory variables which probably allow for better transferability than site specific land use types—for example, to evaluate the emerging use of energy plants that pose novel management challenges without historic precedence to many landscapes; (4) analysis of quantitative and qualitative aspects of plant species diversity (alpha and beta diversity). For data analysis, a powerful regression method (PLS- R) was applied. On this basis, after further validation and transferability tests, a practical tool for the development and validation of effective agri-environmental programmes may be developed. # 2007 Elsevier B.V. All rights reserved. Keywords: Agri-environmental programmes; Alpha diversity; Beta diversity; Fichtelgebirge; Land use; Disturbance; Pattern analysis 1. Introduction paid per ha of arable land or grassland managed, and are no longer subsidized according to the quantity of certain goods The EU Sustainable Development Strategy, launched by produced or land use activity maintained.
    [Show full text]
  • Use of Pyrolysis Mass Spectrometry with Supervised Learning for The
    Use of Pyrolysis Mass Spectrom etry with Supervised Learning for the Assessm ent of the Adulteration of Milk of Different Species ROYSTON GOODACRE Institute of Biological Sciences, University of Wales, Aberystwyth, Dyfed, SY23 3DA, U.K. Binary m ixtures of 0± 20% cows’ m ilk with ewes’ m ilk, 0± 20% raphy;3,4 (2) electrophoretic methods including gel elec- cows’ m ilk with goats’ m ilk, and 0± 5% cow s’ m ilk with goats’ m ilk trophoresis 5,6 and isoelectric focusing;7,8 and (3) immu- were subjected to pyrolysis m ass spectrom etry (PyMS). For an alysis nological-based methods such as agar-gel immunodiffu- of the pyrolysis m ass sp ectra so as to determ ine the p ercentage sion,8± 10 immunoelectrophore sis,11 immunodotti ng,12 adulteration of either caprine or ovine m ilk w ith bovine m ilk, par- 13 tial least-sq uares regression (PLS), p rincipal com ponents regression haemagglutination, and various methods based on the 14± 16 (PCR) and fully intercon nected feed-forward ar ti® cial neural net- enzyme-linked immunosorbent assay (ELISA). works (ANNs) were studied. In the latter case, the w eights were Pyrolysis mass spectrometry (PyMS) is a rapid, auto- m odi® ed by u sing the stan dard b ack-prop agation algor ith m , and mated, instrument-based technique that permits the ac- the nodes u sed a sigm oidal squ ash ing function. It was fou nd that quisition of spectroscopic data from 300 or more samples each of the m ethods could be u sed to provid e calibration m odels per working day.
    [Show full text]
  • IMPROVEMENT of MS BASED E-NOSE PERFORMANCES by INCORPORATION of CHROMATOGRAPHIC RETENTION TIME AS a NEW DATA DIMENSION Cosmin Burian
    IMPROVEMENT OF MS BASED E-NOSE PERFORMANCES BY INCORPORATION OF CHROMATOGRAPHIC RETENTION TIME AS A NEW DATA DIMENSION Cosmin Burian ISBN: 978-84-694-0293-1 Dipòsit Legal: T-202-2011 ADVERTIMENT. La consulta d’aquesta tesi queda condicionada a l’acceptació de les següents condicions d'ús: La difusió d’aquesta tesi per mitjà del servei TDX (www.tesisenxarxa.net) ha estat autoritzada pels titulars dels drets de propietat intel·lectual únicament per a usos privats emmarcats en activitats d’investigació i docència. No s’autoritza la seva reproducció amb finalitats de lucre ni la seva difusió i posada a disposició des d’un lloc aliè al servei TDX. No s’autoritza la presentació del seu contingut en una finestra o marc aliè a TDX (framing). Aquesta reserva de drets afecta tant al resum de presentació de la tesi com als seus continguts. En la utilització o cita de parts de la tesi és obligat indicar el nom de la persona autora. ADVERTENCIA. La consulta de esta tesis queda condicionada a la aceptación de las siguientes condiciones de uso: La difusión de esta tesis por medio del servicio TDR (www.tesisenred.net) ha sido autorizada por los titulares de los derechos de propiedad intelectual únicamente para usos privados enmarcados en actividades de investigación y docencia. No se autoriza su reproducción con finalidades de lucro ni su difusión y puesta a disposición desde un sitio ajeno al servicio TDR. No se autoriza la presentación de su contenido en una ventana o marco ajeno a TDR (framing). Esta reserva de derechos afecta tanto al resumen de presentación de la tesis como a sus contenidos.
    [Show full text]
  • All-In-One Multivariate Data Analysis and Design of Experiments Software
    Bring data to life Version 10.3 All-in-one Multivariate Data Analysis and Design of Experiments software Powerful multivariate Easy data importing Outstanding graphics, analysis methods and options with intuitive plots and interactive data design of experiments workflows and interface visualization tools “ “ Cutting through complex“ data This intelligent engine borders upon data sets to underlying structures... “mining, as it cuts through prediction and is simplicity itself classification problems 02 CAMO The Unscrambler® X The Unscrambler is much more intuitive“ and has “all the features I need plus more advanced methods than generalist statistical software Søren Bech, Head of Research, Bang & Olufsen The Unscrambler® X 03 CAMO Software for every industry For almost 30 years, The Unscrambler® has enabled organizations across many industries and research fields to improve product development, process understanding and quality control through deeper data insights. Pharmaceuticals Energy/Renewables Chemicals/Petrochem Automotive Agriculture Medical Devices Food & Beverage Electronics Pulp & Paper Engineering Mining & Metals Retail Oil & Gas Semi-conductors Manufacturing Marketing Research & Academia Aerospace 04 CAMO The Unscrambler® X Multivariate data analysis is a highly visual approach The Unscrambler® X is the only major multivariate data that helps you identify and understand patterns in large analysis software that includes a seamlessly integrated or complex data sets. Easily accessible raw data plots Design of Experiments (DoE) module, giving you a are a very useful tool in the analysis. powerful all-in-one tool for your data analysis needs. In the 3D Scatter Plot above, data from paper Multivariate analysis and Design of Experiments often go manufacturing is shown, where each of the samples hand in hand.
    [Show full text]
  • Combining Multivariate Analysis and Pollen Count to Classify Honey Samples Accordingly to Different Botanical Origins
    SCIENTIFIC NOTE COMBINING MULTIVARIATE ANALYSIS AND POLLEN COUNT TO CLASSIFY HONEY SAMPLES ACCORDINGLY TO DIFFERENT BOTANICAL ORIGINS Eduardo Corbella1, and Daniel Cozzolino2* A B S T R A C T INTRODUCTION This study reports the combination of multivariate Scientists in the food and beverage industries are techniques and pollen count analysis to classify hon- interested in identifying the main changes in proc- ey samples according to botanical sources, in sam- ess that may lead to a change in quality or compro- ples from Uruguay. Honey samples from different mises in any ingredient or finished products. Food botanical origins, namely Eucalyptus spp. (n = 10), authenticity issues in the form of adulteration and Lotus spp. (n = 12), Salix spp. (n = 5), “mil flores” improper description have been around for a long (Myrtaceae spp.) (n = 12) and coronilla (Scutia buxi- time. Recently, the demand for natural honey has folia Reissek) (n = 10) were analysed using Melisso- increased, consequently, methods to assure the au- palynology (pollen identification). Principal compo- thenticity of honey can be economically important. nent analysis (PCA) and linear discriminant analysis (LDA) were used to classify the honey samples ac- Several factors contribute to the quality properties cordingly to their botanical origin based on a pollen of honey, such as high osmotic pressure, lower count. Honey samples of higher percentage (> 70%) water activity, low pH, and low protein content, of Eucalyptus, Lotus and Scutia pollen were 100% cor- among others (Anklam, 1998; Bogdanov, 1999). rectly classified, whilst samples from Myrtaceae spp. and Salix were 80 and 66% correctly classified, re- The authenticity of honey has two aspects, one re- spectively.
    [Show full text]
  • Download This PDF File
    Control Theory and Informatics www.iiste.org ISSN 2224-5774 (print) ISSN 2225-0492 (online) Vol 2, No.1, 2012 The Trend Analysis of the Level of Fin-Metrics and E-Stat Tools for Research Data Analysis in the Digital Immigrant Age Momoh Saliu Musa Department of Marketing, Federal Polytechnic, P.M.B 13, Auchi, Nigeria. Tel: +2347032739670 e-mail: [email protected] Shaib Ismail Omade (Corresponding author) Department of Statistics, School of Information and Communication Technology, Federal Polytechnic, P.M.B 13, Auchi, Nigeria. Phone: +2347032808765 e-mail: [email protected] Abstract The current trend in the information technology age has taken over every spare of human discipline ranging from communication, business, governance, defense to education world as the survival of these sectors depend largely on the research outputs for innovation and development. This study evaluated the trend of the usage of fin-metrics and e-stat tools application among the researchers in their research outputs- digital data presentation and analysis in the various journal outlets. The data used for the study were sourced primarily from the sample of 1720 out of 3823 empirical on and off line journals from various science and social sciences fields. Statistical analysis was conducted to evaluate the consistency of use of the digital tools in the methodology of the research outputs. Model for measuring the chance of acceptance and originality of the research was established. The Cockhran test and Bartlet Statistic revealed that there were significant relationship among the research from the Polytechnic, University and other institution in Nigeria and beyond. It also showed that most researchers still appeal to manual rather than digital which hampered the input internationally and found to be peculiar among lecturers in the system that have not yet appreciate IT penetration in Learning.
    [Show full text]
  • The R Project for Statistical Computing a Free Software Environment For
    The R Project for Statistical Computing A free software environment for statistical computing and graphics that runs on a wide variety of UNIX platforms, Windows and MacOS OpenStat OpenStat is a general-purpose statistics package that you can download and install for free. It was originally written as an aid in the teaching of statistics to students enrolled in a social science program. It has been expanded to provide procedures useful in a wide variety of disciplines. It has a similar interface to SPSS SOFA A basic, user-friendly, open-source statistics, analysis, and reporting package PSPP PSPP is a program for statistical analysis of sampled data. It is a free replacement for the proprietary program SPSS, and appears very similar to it with a few exceptions TANAGRA A free, open-source, easy to use data-mining package PAST PAST is a package created with the palaeontologist in mind but has been adopted by users in other disciplines. It’s easy to use and includes a large selection of common statistical, plotting and modelling functions AnSWR AnSWR is a software system for coordinating and conducting large-scale, team-based analysis projects that integrate qualitative and quantitative techniques MIX An Excel-based tool for meta-analysis Free Statistical Software This page links to free software packages that you can download and install on your computer from StatPages.org Free Statistical Software This page links to free software packages that you can download and install on your computer from freestatistics.info Free Software Information and links from the Resources for Methods in Evaluation and Social Research site You can sort the table below by clicking on the column names.
    [Show full text]
  • A Complete Data Handling Package for NMR Metabolomics Bradley Worley University of Nebraska-Lincoln, [email protected]
    University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Robert Powers Publications Published Research - Department of Chemistry 2014 MVAPACK: A Complete Data Handling Package for NMR Metabolomics Bradley Worley University of Nebraska-Lincoln, [email protected] Robert Powers University of Nebraska-Lincoln, [email protected] Follow this and additional works at: http://digitalcommons.unl.edu/chemistrypowers Part of the Analytical Chemistry Commons Worley, Bradley and Powers, Robert, "MVAPACK: A Complete Data Handling Package for NMR Metabolomics" (2014). Robert Powers Publications. 23. http://digitalcommons.unl.edu/chemistrypowers/23 This Article is brought to you for free and open access by the Published Research - Department of Chemistry at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Robert Powers Publications by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Articles pubs.acs.org/acschemicalbiology MVAPACK: A Complete Data Handling Package for NMR Metabolomics Bradley Worley and Robert Powers* Department of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska 68588-0304, United States *S Supporting Information ABSTRACT: Data handling in the field of NMR metabolomics has historically been reliant on either in-house mathematical routines or long chains of expensive commercial software. Thus, while the relatively simple biochemical protocols of metabolomics maintain a low barrier to entry, new practitioners of metabolomics experiments are forced to either purchase expensive software packages or craft their own data handling solutions from scratch. This inevitably complicates the standardization and communication of data handling protocols in the field. We report a newly developed open-source platform for complete NMR metabolomics data handling, MVAPACK, and describe its application on an example metabolic fingerprinting data set.
    [Show full text]
  • Statistics and Chemometrics for Analytical Chemistry
    0131291920_COVER 3/2/05 10:48 AM Page 1 Statistics This popular textbook gives a clear account of the principles of the Statistics and main statistical methods used in modern analytical laboratories. Such Chemometrics methods underpin high quality analyses in areas such as the safety of food, water and medicines, environmental monitoring, and chemical and manufacturing. The treatment throughout emphasises the underlying for Analytical statistical ideas, and no detailed knowledge of mathematics is required. Chemometrics Chemistry There are numerous worked examples, including the use of Microsoft Statistics and Excel and Minitab, and a large number of student exercises, many of them based on examples from the analytical literature. Fifth edition key features Chemometrics • expanded treatment of control charts • additions to cover single point calibration and method comparison techniques for Analytical • extended treatment of robust methods for • major additions to sections on multivariate regression • numerous worked examples, using Microsoft Excel and Minitab Analytical Chemistry Chemistry • an attractive two-colour text design • updated Instructors’ Manual • improved website, www.pearsoned.co.uk/miller, including examples for lecturers and students James N Miller This book is aimed at undergraduate and graduate courses in Analytical Chemistry and related topics. It will also be a valuable & Jane C Miller resource for researchers and chemists working in analytical chemistry. Professor James Miller – is Emeritus Professor of Analytical Chemistry at Loughborough Fifth edition University. He has published numerous reviews and papers on analytical techniques and been awarded the SAC Silver Medal, the Theophilus Redwood Lectureship and the SAC Gold Medal by the Royal Miller Miller & Society of Chemistry.
    [Show full text]