DOCSLIB.ORG

Sigmastat® 4.0

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Sigmastat® 4.0 A d v i s o r y S t a t i s t i c s f o r S c i e n t i s t S i g m a S t a t 4 . 0 s SigmaStat® 4.0 L et an e xp e rt g u ide your r e s e a r c h a n a l y s i s S i g m a S t a t s o f t w a r e h e lp s you ever y step of the way D e s i g n e d by Scientists, f o r S c i e n t i s t s S i g m a S t a t 4 . 0 D e s i g n e d by Scientists, f o r S c i e n t i s t s S i g m a S t a t 4 . 0 SigmaStat Helps You Analyze Data Confidently, Visualize Results Easily SigmaStat is an easy-to-use, wizard-based statistical software package designed to guide users through every step of the analysis and perform powerful statistical analysis without being a statistical expert. SigmaStat is tailored to the areas of life science and medical research, but can be a valuable product to scientists in many fields. With SigmaStat, you can be confident that you have analyzed your data correctly. And you save time, too! Because it takes you step by step through the analysis, SigmaStat ensures that you: • Use the proper statistical method to analyze your data • Avoid the risk of statistical error • Interpret the results correctly • Generate an appropriate display and a professional report Features that make analysis fast and easy You don't need to know which statistical test is right for your data. Simply open the SigmaStat Advisor Wizard and answer a few questions about your data and your research project. The Advisor will suggest the appropriate statistical test. Then SigmaStat runs the The SigmaStat Advisor Wizard guides you through the analysis of your data. test, checking your data against the test's underlying Designed by scientists, for scientists assumptions. If your data violates any of those assumptions, another test may be suggested that you SigmaStat is used by thousands of research scientists can run immediately. After you run the test, you receive worldwide. It can easily accommodate the vast amounts of a report in plain English, interpreting the results. Then, data those today`s research projects generate. And SigmaStat with a click of a mouse, you can visualize your data in includes the statistical tests and procedures most frequently one of several pre-selected formats. used in clinical and laboratory research. With SigmaStat, you can compare effects among groups, including before-and-after or repeated measures studies. You can also: • Conduct survival analysis • Analyze rates and proportions • Perform regression and correlation analyses • Use principle components to reduce data complexity • Calculate power and sample size SigmaStat automatically checks your data against the underlying Statistical tests - SigmaStat includes all the statistical assumptions for normality, equal variance, and multicollinearity. SigmaStat warns you of violations and suggests a more tests most frequently used to analyze scientific research. appropriate test when necessary. You can conduct regression analysis, and run analysis-of- variance analysis (ANOVA) or repeated measures against multiple groups. Learn more about SYSTAT Products at S i g m a S t a t 4 . 0 www.systat.com A d v i s o r y S t a t i s t i c s f o r S c i e n t i s t s S i g m a S t a t 4 . 0 SigmaStat's ease of use makes it an ideal solution for non-statisticians to conduct statistical analyses of research data. The output statements are obvious and make interpretation easy. Overall, SigmaStat is a user-friendly product that is instrumental to my research efforts and is ideal for anyone who requires more straightforward and intuitive statistical evaluation of their data. Dr. Robert Darmody - Professor of Pedology, Department of Natural Resources and Environmental Sciences, “University of Illinois SigmaStat Result Graphs - You can instantly visualize the You can also employ other types of parametric and results of your analysis by clicking on one of the preselected non-parametric tests, as your research requires. graph types suggested by And SigmaStat can accept raw or indexed data, SigmaStat. You don't need saving you from having to reformat your data. to reselect data or variables ” SigmaStat Worksheet - Designed to accommodate - SigmaStat uses the inputs high volumes of data, the worksheet contains up to 32 from your analysis. Then thousand columns and millions of rows. You can you can edit, save and automatically access data saved in Microsoft® distribute your graphs. Excel files or in other spreadsheet or database After your analysis is complete, you can quickly visualize your formats. You can navigate through the worksheet data by choosing from a set quickly and edit it efficiently, using keyboard of preselected "result graphs. commands found in familiar spreadsheet programs. SigmaStat Graph Wizard - Or select a data point or group of points in a graph Another way to visualize your data is and SigmaStat highlights the corresponding cell, with the SigmaStat Graph Wizard. column, or row in the worksheet to identify outliers You choose the graph type – point plot, box plot, bar or data entry errors. chart, histogram, scatterplot, step plot, and more. SigmaStat Report Editor – When you conduct an Then the Graph Wizard guides you through the process analysis with SigmaStat, you receive a detailed, of selecting your data and creating your graph. formatted report interpreting the results - not in statistical jargon, but in language you understand. You Rely on SigmaStat can print your report, incorporate it into other documents You owe it to yourself - and to your research. or export it in a variety of formats, including PDF and With SigmaStat, you'll have the expertise of a HTML. professional statistical consultant at your fingertips. This saves time and helps you avoid statistical errors. Plus, you can share your findings quickly and easily, not only with colleagues in your lab, but with others around the world. And SigmaStat 4.0 makes all of this easier than ever before! For more information about SigmaStat, call 1-800-797-7401 (toll-free within the U.S.) . or visit www.systat.com/products/SigmaStat/. SigmaStat provides a written report that interprets your analysis, in terms you can understand. D e s i g n e d by Scientists, f o r S c i e n t i s t s S i g m a S t a t 4 . 0 S i g m a S t a t 4 . 0 SigmaStat 4.0 Features BROWSER-STYLE • Regression • Regression Diagnostics • Test Results Graphs (cont’d) NOTEBOOK MANAGER - Linear and multiple linear - Multicollinearity, homoscedasticity, - Point plots • Can hold SigmaStat worksheets, - Polynomial, specific order or residual analysis - Point and column means Excel worksheets, reports, model comparisons for many - Cook's distance. Leverages, - Histogram of residuals documents and graph pages. orders covariance matrices (and more) - Normal probability plot • New dialog-bar-based notebook - Stepwise, forward and backward • Test-Specific Options - Scatterplot with regression and that has several states: docks, - Best subsets - Set alpha for power calculation confidence intervals resizable, hide-able, summary - Multiple logistic - Set significance level for - Box plots information mode, etc. - Deming omnibus test and multiple - 3-D residuals and 3-D scatterplots • Rearrange notebook items with - Nonlinear comparisons - Grouped bar charts drag-n-drop. • Principal Components - Execution options (and more) - Before-and-after plots • Direct-editing of notebook summary - Covariance or correlation matrix - Multiple comparison matrix information analysis MATHEMATICAL - Scatter correlation matrix DATA SELECTION - Multiple methods of component TRANSFORMS - Scree plot, component loadings plot, • Raw, indexed, and tabulated data selection • Parameter estimation functions for component scores plot nonlinear regression • Sample size, mean, standard • Rates and Proportions GRAPH FEATURES deviation or standard error - Chi-square analysis of • Analytic functions, statistical functions, data manipulation • Plot a range of rows DATA WORKSHEET contingency tables - McNemar test • Probability distribution functions, • Multiple "undo" feature • Up to 32 thousand columns by - Fisher's exact test functions to solve equations • Eight axis scaling options, millions of rows • Use single-value, column range, - Z-test including linear, log, • Adjust row height and column or worksheet blocks for input - Odds Ratio and Relative Risk probability, date/time widths • Random number generators • Power and Sample Size • Create axis titles and legends • Format cells and empty columns • Dummy variables to supplement automatically - t tests and proportions • Add row titles ANOVA analysis • Choose text fonts and control size • Longer text strings and variable - ANOVA and correlation • User-defined (and more) and style names - Chi-square • Change type, color and fill of lines, • Data linked to Exploratory graphs • Descriptive Statistics REPORTS and fill style • Multiple "undo" feature - Mean, median, standard deviation, • Export in PDF and HTML • Modify computation of error bars • Handles missing data standard error of mean • Multiple "undo" feature • Add Gradient fills, antialiasing, • Edit column titles interactively - Percentiles, sum of squares • Print preview color transparency • Promote text labels to column titles - Skewness, kurtosis • Cut and paste graphs • Use the Histogram Wizard to plot • Transpose rows/columns - Confidence interval for the • Save to text files histograms with options for • Sort, rank, index and stack data mean range • Option to "Explain Test Results" styles IMPORT/EXPORT DATA - Maximum and minimum values • Display assumptions, ANOVA tables, • Use
Load more

Recommended publications
  • Sigmaplot 11: Now with Total Sigmastat Integration
    SigmaPlot 11: Now with Total SigmaStat Integration Imagine my joy as I discovered a complete package of publication-quality graphics software with analytic and presentation tools John A. Wass, Ph.D., in: Scientific Computing International, Jan/Feb 2009 The SYSTAT people who market this product have thrown me a curve. For years, I have bemoaned the fact that most of the upgrade and development efforts that went into the SigmaPlot/SigmaStat software seemed to be biased to the plot side. When I observed that the new package was merely named SigmaPlot, and I further failed to find SigmaStat integration features (the stuff that connects the two programs), the Figure 1: SigmaPlot graphics and wizards, including the Quick Start natural conclusion seemed to be that the statistical Menu (upper right) and the graph program was jettisoned in favor of the graphics. wizard (bottom center) The above introductory narrative is intended to alert the reader to this editor’s long- time love affair with SigmaStat. It was the first statistical software that I used, (seemingly) the first to make a seamless transition from DOS to Windows, and the very first to offer that wonderful Wizard to we befuddled amateur statisticians. My introduction to SigmaPlot came much later, and use of that was only stimulated when the two became integrated. Later on, a pharmacology menu was added and the usage of the plotting software was greatly extended. Of course, the new version has added further graphics and helps to make an already useful program even easier to use. It is now a complete package of publication-quality graphics software with analytic and presentation tools.
    [Show full text]
  • Catalogo Generale ADALTA N. 25
    SOFTWARE PER L’INNOVAZIONE SOFTWARE Catalogo Generale catalogo completo su: www.adalta.it www.adalta.it L’innovazione tecnologica è fondamentale per le aziende e le istituzioni italiane per essere più competitive. Adalta propone e supporta in Italia l’utilizzo di alcuni tra i più importanti software al mondo per l’innovazione tecnologica, la ricerca e lo sviluppo. Durante più di 20 anni di attività, Adalta ha selezionato nel proprio catalogo i migliori software disponibili, che sono divenuti lo standard mondiale nei diversi settori di applicazione. Centinaia di aziende private, istituzioni pubbliche, università italiane si avvalgono dei servizi di grandissima qualità offerti da Adalta: supporto nell’individuare il prodotto più adatto alle specifi che esigenze, consulenza e formazione per sfruttare al meglio le potenzialità del software. I clienti Adalta vengono costantemente aggiornati grazie alle newsletter tecnico scientifi che ricche di utili informazioni, che vengono pubblicate e rese disponibili per la consultazione gratuita sul sito. Supporto Pre-Vendita Adalta Notizie » www.adalta.it/Contatti » www.adalta.it/AdaltaNotizie Contattaci telefonicamente o via email ti aiuteremo a identi- Informazioni utili, novità, applicazioni per utilizzare al meglio i fi care il software più adatto al tuo lavoro e a determinare la software distribuiti da Adalta. Viene inviata una breve email miglior tipologia di licenza in base alla tue esigenze. con il sommario delle notizie pubblicate. Supporto Post-Vendita Consulenza e Corsi di Formazione » www.adalta.it/Supporto » www.adalta.it/Consulenza Adalta è rivenditore autorizzato e importatore diretto per l’Ita- Adalta aiuta costantemente i tecnici e i professionisti a cono- lia di tutti i prodotti a catalogo.
    [Show full text]
  • Software for Food Engineering Applications - Bon, J
    FOOD ENGINEERING – Vol. IV - Software for Food Engineering Applications - Bon, J. SOFTWARE FOR FOOD ENGINEERING APPLICATIONS Bon, J. Department of Food Technology, Polytechnic University of Valencia,Spain Keywords: Food engineering, software, software sources, engineering software, units operations. Contents 1. Introduction 2. Software Sources 3. Software Tools 3.1. General Software 3.2. Food Physical Properties 3.3. Process Simulation and Design 3.4. Control 3.5. Other 3.6. On-Line Executable Software 4. Conclusions Glossary Bibliography Biographical Sketch Summary Currently, there are industry standard flowsheeting and design programs available, which are widely used by chemical engineers. However, existing programs for food processing applications are limited in their ability to handle the wide variety of processes and products encountered in the food industry. The scientific impediments involved consist of a lack of knowledge of relationships between physicochemical and sensory properties, complexity of food components, their chemical/biomedical behavior, and intricacy of on-line measurement of product properties. A main problem lies in the fact that most of the changes are irreversible. The food engineer deals with computers in one of two ways: 1) understanding how to use commercialUNESCO software that usually perf–orms EOLSS well and has a forthcoming interface making it user-friendly and 2) understanding how to develop software that can solve specific problems,SAMPLE because many calculations CHAPTERSfound in one’s professional career will be unique. Nowadays, a great deal of more or less general-purpose software exists that could be useful in Food Engineering, the main drawback in most cases being the calculation of physical properties.
    [Show full text]
  • List of New Applications Added in ARL #2586
    List of new applications added in ARL #2586 Application Name Publisher NetCmdlets 2016 /n software 1099 Pro 2009 Corporate 1099 Pro 1099 Pro 2020 Enterprise 1099 Pro 1099 Pro 2008 Corporate 1099 Pro 1E Client 5.1 1E SyncBackPro 9.1 2BrightSparks FindOnClick 2.5 2BrightSparks TaxAct 2002 Standard 2nd Story Software Phone System 15.5 3CX Phone System 16.0 3CX 3CXPhone 16.3 3CX Grouper Plus System 2021 3M CoDeSys OPC Server 3.1 3S-Smart Software Solutions 4D 15.0 4D Duplicate Killer 3.4 4Team Disk Drill 4.1 508 Software NotesHolder 2.3 Pro A!K Research Labs LibraryView 1.0 AB Sciex MetabolitePilot 2.0 AB Sciex Advanced Find and Replace 5.2 Abacre Color Picker 2.0 ACA Systems Password Recovery Toolkit 8.2 AccessData Forensic Toolkit 6.0 AccessData Forensic Toolkit 7.0 AccessData Forensic Toolkit 6.3 AccessData Barcode Xpress 7.0 AccuSoft ImageGear 17.2 AccuSoft ImagXpress 13.6 AccuSoft PrizmDoc Server 13.1 AccuSoft PrizmDoc Server 12.3 AccuSoft ACDSee 2.2 ACD Systems ACDSync 1.1 ACD Systems Ace Utilities 6.3 Acelogix Software True Image for Crucial 23. Acronis Acrosync 1.6 Acrosync Zen Client 5.10 Actian Windows Forms Controls 16.1 Actipro Software Opus Composition Server 7.0 ActiveDocs Network Component 4.6 ActiveXperts Multiple Monitors 8.3 Actual Tools Multiple Monitors 8.8 Actual Tools ACUCOBOL-GT 5.2 Acucorp ACUCOBOL-GT 8.0 Acucorp TransMac 12.1 Acute Systems Ultimate Suite for Microsoft Excel 13.2 Add-in Express Ultimate Suite for Microsoft Excel 21.1 Business Add-in Express Ultimate Suite for Microsoft Excel 21.1 Personal Add-in Express
    [Show full text]
  • Simulation Study to Compare the Random Data Generation from Bernoulli Distribution in Popular Statistical Packages
    Simulation Study to Compare the Random Data Generation from Bernoulli Distribution in Popular Statistical Packages Manash Pratim Kashyap Department of Business Administration Assam University, Silchar, India [email protected] Nadeem Shafique Butt PIQC Institute of Quality Lahore, Pakistan [email protected] Dibyojyoti Bhattacharjee Department of Business Administration Assam University, Silchar, India [email protected] Abstract In study of the statistical packages, simulation from probability distributions is one of the important aspects. This paper is based on simulation study from Bernoulli distribution conducted by various popular statistical packages like R, SAS, Minitab, MS Excel and PASW. The accuracy of generated random data is tested through Chi-Square goodness of fit test. This simulation study based on 8685000 random numbers and 27000 tests of significance shows that ability to simulate random data from Bernoulli distribution is best in SAS and is closely followed by R Language, while Minitab showed the worst performance among compared packages. Keywords: Bernoulli distribution, Goodness of Fit, Minitab, MS Excel, PASW, SAS, Simulation, R language 1. Introduction Use of Statistical software is increasing day by day in scientific research, market surveys and educational research. It is therefore necessary to compare the ability and accuracy of different statistical softwares. This study focuses a comparison of random data generation from Bernoulli distribution among five softwares R, SAS, Minitab, MS Excel and PASW (Formerly SPSS). The statistical packages are selected for comparison on the basis of their popularity and wide usage. Simulation is the statistical method to recreate situation, often repeatedly, so that likelihood of various outcomes can be more accurately estimated.
    [Show full text]
  • A Bibliography of the American Statistician
    A Bibliography of The American Statistician Nelson H. F. Beebe University of Utah Department of Mathematics, 110 LCB 155 S 1400 E RM 233 Salt Lake City, UT 84112-0090 USA Tel: +1 801 581 5254 FAX: +1 801 581 4148 E-mail: [email protected], [email protected], [email protected] (Internet) WWW URL: http://www.math.utah.edu/~beebe/ 30 March 2018 Version 1.30 Title word cross-reference [BM01, Ber81, BHO00, Box81, Bro10, CA97, DG97, Eis79, GJLW05, Gro90, HJM08, KG90, LaM94, LD98, MC91, Zuo10]. U [Sch91, Len83]. X [Spi87, Spi86]. x (X <X <X ) [HL96]. :338 [Fre07c]. :833 2 1 2 k [Sch93a]. x jx [Sch93a]. Y [Spi87, Spi86]. Z [Fre07c]. 1: m [Lev97]. 1 × 1 × r [Dun03]. 2k 2 1 [BHO00, Eis79, HJM08, Shi88b]. [SM79]. 2 × 2 [Che11, MW92, MH93, SVR11, Kra88]. 2 × k -Distance [All97]. -Means [Tar07]. [GK99]. 5 [Bar02, Len01c]. -statistics [KD87]. -tables [Lau65]. -Test −X t (n − 1)(s=fng) [Zuo10]. α [HB03]. α [Bro10]. -Value [BS11]. -Values [MTA08]. χ2 [SP85]. ED100p [CCW+86]. F [Chr03, Gue79, Lau65, LD98, ML92, Pei93, 1.4 [Cow04c]. 11 [Hil05d]. 11th [Mil03]. 12 PS98c, Sho03, ZPM+11, SM79, FK86]. f 0=f [Hil03c]. 12.0 [vH04]. 12.01 [Hil04b]. 12.2 [JH83]. gh [HR06]. H [Bet00]. I [Pav88]. k 0 [Hil08f]. 14th [RvE97]. 1913-1994 [CR95]. [BP02, Tar07]. L [Hos92]. L1 [All97]. n 1919 [Ben93]. 19th [LR06]. 1st [Mil03]. [BHO00, Kah87]. O [KD87]. ⊗ [Hu07]. P [BS11, Don99, MTA08, SSC99, Sch96a, 2g [Won98]. 2.0 [Maa99]. 2000 Ber96a, BH02, Bro10, HB03, MW92, Rya09, [ESL09, WJM+03]. 21st [McD99].
    [Show full text]
  • Full Curriculum Vitae (PDF)
    Mohamed Rahouti, P.HD. Candidate Department of Electrical Engineering, University of South Florida 4202 E. Fowler Ave, CMC 303C, Tampa, FL 33620-5399, USA Phone: (813) 315-0306, Email: [email protected] Website: http://mrahouti.myweb.usf.edu/ LinkedIn: https://www.linkedin.com/in/mohamed-rahouti-936347124/ Education Ph.D., University of South Florida, Tampa, Florida, USA, January 2017-April 2020 • Doctoral degree candidate in Electrical Engineering, Supervisors Drs. Kaiqi Xiong and Nasir Ghani • Courses in cyber security, computer networking and security, applied cryptography, machine learning, artificial intelligence, data mining, advanced databases, graph theory, optimization and queueing theory (GPA > 3.7 out of 4) Masters, University of South Florida, Tampa, Florida, USA, January 2015-December 2016 • Masters degree in Mathematics, Statistics concentration, Supervisor Prof. Kaiqi Xiong • Courses in mathematics, probability theory, applied statistics, data mining and advanced data science, engineering mathematics (GPA >3.5 out of 4) Bachelors, Ecole Supérieure d'Ingénierie En Sciences Appliquées, Morocco, Sept. 2009–Aug. 2013 • Bachelors degree in Computer Engineering • Courses in communications, advanced programing, data structures, algorithm theory, networks, and software engineering (GPA >17 out of 20) Technical Skills • Data Science and analytics: • Matlab, SPSS, Minitab, Microsoft Excel, Tableau, R/RStudio, Stata, SigmaStat, Izenda, Sisense, Sales Force Analytics Cloud. • Machine learning and data mining: • Matlab, TensorFlow, Octave, Weka, Google Cloud Platform, R, H2O, Deeplearning4j, Scikit- learn, XGBoost, PyTorch, Torch, RapidMiner • Software Engineering & Programming Languages: • Python, C/C++/C#, Java, Assembler, bash, Perl, Ruby, Rust, iOS/Swift • JEE: Struts, Spring, Hibernate, RMI, EJB. • .Net: VB.NET, Windows Forms, Windows Presentation Foundation, MVC2, JavaServerFaces, JavaServerPages.
    [Show full text]
  • "R Coding and Modeling" In: the Encyclopedia of Archaeological
    for many other programs where these details R Coding and Modeling are not available to the user (cf. PAST, and all BEN MARWICK commercial software). Second, for many archae- University of Washington, USA ologists a spreadsheet program such as Microsoft Excel is their primary tool of data analysis and visualization. The primary mode of interaction is by manipulating cells in the spreadsheet, and Introduction through mouse-clicks to access commands in thedrop-downmenus.Rdiffersfromallother R is a programming language and computing statistical software because it is not a spreadsheet environment useful for statistical and geospatial program and has very few mouse-driven actions. analysis, data visualization, and mapping. It is Instead, R has a prompt to which typed com- significant as the most widely used scientific pro- mands are interactively sent to the R interpreter. gramming language in archaeology. This entry As a programming language, R gives the user will briefly describe the origins of R and survey greatflexibilitythroughaccesstoavastvarietyof its distinctive features, including how it enables methods. The user is not limited to built-in func- reproducible research. It will also highlight some tions, but can easily create new ones. The R inter- current uses of R in archaeology, and suggest some possible future directions. preterevaluatescommandstypedbytheuser,and R was originally developed in New Zealand in the computed output is printed to the screen or the early 1990s as an academic research project to stored for later use. These typed commands are create a language for introductory data analysis saved in a plain-text R script file, which becomes courses. It is closely related to the S language and arecordofallthestepsinadataanalysis.
    [Show full text]
  • Volume XXVII Number 2 2015 ITALIAN JOURNAL of FOOD SCIENCE (RIVISTA ITALIANA DI SCIENZA DEGLI ALIMENTI) 2Nd Series
    ISSN 1120-1770 Volume XXVII Number 2 2015 ITALIAN JOURNAL OF FOOD SCIENCE (RIVISTA ITALIANA DI SCIENZA DEGLI ALIMENTI) 2nd series Founded By Paolo Fantozzi under the aeges of the University of Perugia Official Journal of the Italian Society of Food Science and Technology Società Italiana di Scienze e Tecnologie Alimentari (S.I.S.T.Al) Initially supported in part by the Italian Research Council (CNR) - Rome - Italy Recognised as a “Journal of High Cultural Level” by the Ministry of Cultural Heritage - Rome - Italy Editor-in-Chief: Paolo Fantozzi - Dipartimento di Scienze Economico-Estimative e degli Alimenti, Università di Perugia, S. Costanzo, I-06126 Perugia, Italy - Tel. +39 075 5857910 - Telefax +39 075 5857939-5857943 - e-mail: [email protected] Co-Editors: Gallina Toschi Tullia - Alma Mater Studiorum - Università di Bologna, e-mail: [email protected] Mannino Saverio - Università degli Studi di Milano, e-mail: [email protected] Pittia Paola - Università degli Studi di Teramo, e-mail: [email protected] Pompei Carlo - Università degli Studi di Milano, e-mail: [email protected] Rolle Luca - Università degli Studi di Torino, e-mail: [email protected] Sinigaglia Milena - SIMTREA - Università degli Studi di Foggia, e-mail: [email protected] Publisher: Alberto Chiriotti - Chiriotti Editori srl, Viale Rimembranza 60, I-10064 Pinerolo, Italy - Tel. +39 0121 393127 - Fax +39 0121 794480 e-mail: [email protected] - URL: www.chiriottieditori.it Aim: The Italian Journal of Food Science is an international journal publishing original, basic and applied papers, reviews, short communications, surveys and opinions on food science and technology with specific reference to the Mediterranean Region.
    [Show full text]
  • Porcelain & Ceramic Products (B2B Procurement)
    Porcelain & Ceramic Products (B2B Procurement) Purchasing World Report Since 1979 www.datagroup.org Porcelain & Ceramic Products (B2B Procurement) Porcelain & Ceramic Products (B2B Procurement) 2 B B Purchasing World Report Porcelain & Ceramic Products (B2B Procurement) The Purchasing World Report is an extract of the main database and provides a number of limited datasets for each of the countries covered. For users needing more information, detailed data on Porcelain & Ceramic Products (B2B Procurement) is available in several Editions and Database versions. Users can order (at a discount) any other Editions, or the Database versions, as required from the After-Sales Service or from any Dealer. This research provides data the Buying of Materials, Products and Services used for Porcelain & Ceramic Products. Contents B2B Purchasing World Report ................................................................................................................................... 2 B2B Purchasing World Report Specifications ............................................................................................................ 4 Materials, Products and Services Purchased : US$ ........................................................................................... 4 Report Description .................................................................................................................................................. 6 Tables ....................................................................................................................................................................
    [Show full text]
  • Handbook of Knowledge Society Foresight
    European Foundation for the Improvement of Living and Working Conditions Handbook of Knowledge Society Foresight Executive summary Introduction Foresight in the knowledge society Main methods and issues Approaches to forecasting Generating strategic intelligence Scenarios in knowledge society foresight Planning and action Evaluating outcomes Concluding remarks Annexes: Annex A, Annex B, Annex C For full Contents click here This handbook is available in electronic format only Wyattville Road, Loughlinstown, Dublin 18, Ireland. - Tel: (+353 1) 204 31 00 - Fax: 282 42 09 / 282 64 56 e-mail: [email protected] - website: www.eurofound.eu.int Contents Executive summary 1. Introduction 1.1 Who and what is this handbook for? 1.2 What is the structure of the handbook? 1.3 What additional resources are available? 2. Foresight in the knowledge society 2.0 Introduction 2.1 The knowledge society 2.2 Foresight 3. Main methods and issues 3.0 Introduction 3.1 What are the main decisions to be made about a foresight exercise? 3.2 How will the focus of knowledge society foresight be determined? 3.3 How can the areas that require attention be identified? 3.4 What is the most suitable time horizon? 3.5 Who will pay and how long will it take? 3.6 What methods can be used to identify relevant expertise and stakeholders? 3.7 What methods can be used for raising awareness and building support? 3.8 What are the typical approaches for organising and managing foresight activities? 4. Approaches to forecasting 4.0 Introduction: the use of forecasting methods in knowledge society foresight 4.1 Forecasting approaches mainly based on expert judgement 4.2 Forecasting approaches mainly based on statistical or mathematical analysis 5.
    [Show full text]
  • (Microsoft Powerpoint
    Acil T ıp’ta İstatistik Sunum Plan ı IV. Acil Tıp Asistan Sempozyumu 19-21 Haziran 2009 Biyoistatistik nedir Sa ğlık alan ında biyoistatistik Acil T ıp’ta biyoistatistik Meral Leman Almac ıoğlu İstatistik yaz ılım programlar ı Uluda ğ Üniversitesi T ıp Fakültesi Acil T ıp AD Bursa Biyoistatistik Nedir Biyoistatistik Niçin Gereklidir 1. Biyolojik, laboratuar ve klinik verilerdeki yayg ınl ık ı ğ ı Biyoistatistik; t p ve sa l k bilimleri 2. Verilerin anla şı lmas ı alanlar ında veri toplanmas ı, özetleme, 3. Yorumlanmas ı analiz ve de ğerlendirmede istatistiksel 4. Tıp literatürünün kriti ğinin yap ılmas ı yöntemleri kullanan bilim dal ı 5. Ara ştırmalar ın planlanmas ı, gerçekle ştirilmesi, analiz ve yorumlanmas ı Biyoistatistiksel teknikler kullan ılmadan gerçekle ştirilen ara ştırmalar bilimsel ara ştırmalar de ğildir Acil’de İstatistik Sa ğlık istatistikleri sa ğlık çal ış anlar ının verdi ği bilgilerden derlenmekte Acil Servis’in hasta yo ğunlu ğunun y ıl-ay-gün-saat baz ında de ğerlendirilmesi bu veriler bir ülkede sa ğlık hizmetlerinin planlanmas ı Çal ış ma saatlerinin ve çal ış mas ı gereken ki şi say ısının ve de ğerlendirmesinde kullan ılmakta planlanmas ı Gerekli malzeme, yatak say ısı, ilaç vb. planlanmas ı Verilen hizmetin kalitesinin ölçülmesi İyi bir biyoistatistik eğitim alan sa ğlık personelinin o Eğitimin kalitesinin ölçülmesi ülkenin sa ğlık informasyon sistemlerine güvenilir Pandemi ve epidemilerin tespiti katk ılarda bulunmas ı beklenir Yeni çal ış malar, tezler … İstatistik Yaz ılım Programlar ı İİİstatistiksel
    [Show full text]