Fifty Years of Chemometrics, Fifty Years with Chemometrics
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Econometrics
BIBLIOGRAPHY ISSUE 28, OCTOBER-NOVEMBER 2013 Econometrics http://library.bankofgreece.gr http://library.bankofgreece.gr Tables of contents Introduction...................................................................................................................2 I. Print collection of the Library...........................................................................................3 I.1 Monographs .................................................................................................................3 I.2 Periodicals.................................................................................................................. 33 II. Electronic collection of the Library ................................................................................ 35 II.1 Full text articles ..................................................................................................... 35 IΙI. Resources from the World Wide Web ......................................................................... 59 IV. List of topics published in previous issues of the Bibliography........................................ 61 Image cover: It has created through the website http://www.wordle.net All the issues are available at the internet: http://www.bankofgreece.gr/Pages/el/Bank/Library/news.aspx Bank of Greece / Centre for Culture, Research and Documentation / Library Unit / 21 El. Venizelos, 102 50 Athens / [email protected]/ Tel. 210 320 2446, 2522 / Bibliography: bimonthly electronic edition, Issue 28, September- October 2013 Contributors: -
Curriculum Vitae: Michael W. Trosset
Curriculum Vitae: Michael W. Trosset Department of Statistics Telephone: (812) 856-1178 Indiana University E-mail: [email protected] Bloomington, IN 47401 Web Page: http://www.math.wm.edu/∼trosset/ Education • University of California, Berkeley (Department of Statistics); Fannie & John Hertz Foundation Fellow, September 1978 to December 1981; Dissertation: Minimax Estimation With Side Conditions, directed by Peter J. Bickel; Ph.D., December 1983. • Rice University (Mathematics and Mathematical Sciences); B.A., summa cum laude, May 1978. Employment • Professor, Department of Statistics, Indiana University. August 2006 to present. • Director, Indiana Statistical Consulting Center. August 2006 to present. • Associate Professor, Department of Mathematics, College of William & Mary. August 1998 to June 2006. Promoted to Professor in April 2006. • Formerly Visiting Associate Professor and Adjunct Lecturer, Departments of Mathematics, Statistics, and Psychology, University of Arizona (August 1993 to July 1998); Senior Postdoctoral Fellow, W.M. Keck Center for Computational Biology and Visiting Lecturer, Department of Statistics, Rice Uni- versity (September 1996 to June 1997); Visiting Lecturer, Department of Computational & Applied Mathematics, Rice University (Spring 1993); Consultant (June 1988 to July 1998); Assistant Pro- fessor, Department of Statistics, University of Arizona (August 1984 to December 1988); Instructor, Department of Mathematical Sciences, Rice University (January 1982 to May 1984); Research Assis- tant, Division of -
Biometrics & Biostatistics
Hanley and Moodie, J Biomet Biostat 2011, 2:5 Biometrics & Biostatistics http://dx.doi.org/10.4172/2155-6180.1000124 Research Article Article OpenOpen Access Access Sample Size, Precision and Power Calculations: A Unified Approach James A Hanley* and Erica EM Moodie Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Canada Abstract The sample size formulae given in elementary biostatistics textbooks deal only with simple situations: estimation of one, or a comparison of at most two, mean(s) or proportion(s). While many specialized textbooks give sample formulae/tables for analyses involving odds and rate ratios, few deal explicitly with statistical considera tions for slopes (regression coefficients), for analyses involving confounding variables or with the fact that most analyses rely on some type of generalized linear model. Thus, the investigator is typically forced to use “black-box” computer programs or tables, or to borrow from tables in the social sciences, where the emphasis is on cor- relation coefficients. The concern in the – usually very separate – modules or stand alone software programs is more with user friendly input and output. The emphasis on numerical exactness is particularly unfortunate, given the rough, prospective, and thus uncertain, nature of the exercise, and that different textbooks and software may give different sample sizes for the same design. In addition, some programs focus on required numbers per group, others on an overall number. We present users with a single universal (though sometimes approximate) formula that explicitly isolates the impacts of the various factors one from another, and gives some insight into the determinants for each factor. -
Indian Statistical Institute
CHAPTER VII INDIAN STATISTICAL INSTITUTE 7.1 The Indian Statistical Institute (ISI) came into being with the pioneering initiative and efforts of Professor P.C. Mahalanobis in early thirties (registered on 28 April, 1932). The Institute expanded its research, teaching, training and project activities and got national/international recognitions. The Institute was recognized as an “Institute of National Importance” by an Act of Parliament, known as “Indian Statistical Institute Act No.57 of 1959”. Significantly, Pandit Jawaharlal Nehru, the then Prime Minister piloted the bill in the Parliament in 1959. This Act conferred the right to hold examinations and award degrees/diplomas in Statistics. Degree courses viz. Bachelor of Statistics (B.Stat.), Master of Statistics (M.Stat.) and post graduate diplomas in SQC & OR and Computer Science were started from June 1960. The Institute was also empowered to award Ph.D./D.Sc. degree from the same year. Subsequently, Master of Technology courses in Computer Science and in Quality, Reliability & Operations Research were also started. The Institute’s scope was further enlarged to award degrees/diplomas in Statistics, Mathematics, Quantitative Economics, Computer Science and such other subjects related to Statistics by virtue of “Indian Statistical Institute (Amendment) Act, 1995. The Institute took up research activities not only in Statistics/Mathematics but also in Natural and Social Sciences, Physics and Earth Sciences, Biological Sciences, Statistical Quality Control & Operations Research and Library and Information Sciences. 7.2 Sankhya – The Indian Journal of Statistics, being published by the Institute since 1933, is considered as one of the leading Statistical Journals of the world. -
Partial Least Squares Path Modeling Hengky Latan • Richard Noonan Editors
Partial Least Squares Path Modeling Hengky Latan • Richard Noonan Editors Partial Least Squares Path Modeling Basic Concepts, Methodological Issues and Applications 123 Editors Hengky Latan Richard Noonan Department of Accounting Institute of International Education STIE Bank BPD Jateng and Petra Stockholm University Christian University Stockholm, Sweden Semarang-Surabaya, Indonesia ISBN 978-3-319-64068-6 ISBN 978-3-319-64069-3 (eBook) DOI 10.1007/978-3-319-64069-3 Library of Congress Control Number: 2017955377 Mathematics Subject Classification (2010): 62H20, 62H25, 62H12, 62F12, 62F03, 62F40, 65C05, 62H30 © Springer International Publishing AG 2017 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. -
Econometrics As a Pluralistic Scientific Tool for Economic Planning: on Lawrence R
Econometrics as a Pluralistic Scientific Tool for Economic Planning: On Lawrence R. Klein’s Econometrics Erich Pinzón-Fuchs To cite this version: Erich Pinzón-Fuchs. Econometrics as a Pluralistic Scientific Tool for Economic Planning: On Lawrence R. Klein’s Econometrics. 2016. halshs-01364809 HAL Id: halshs-01364809 https://halshs.archives-ouvertes.fr/halshs-01364809 Preprint submitted on 12 Sep 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Documents de Travail du Centre d’Economie de la Sorbonne Econometrics as a Pluralistic Scientific Tool for Economic Planning: On Lawrence R. Klein’s Econometrics Erich PINZÓN FUCHS 2014.80 Maison des Sciences Économiques, 106-112 boulevard de L'Hôpital, 75647 Paris Cedex 13 http://centredeconomiesorbonne.univ-paris1.fr/ ISSN : 1955-611X Econometrics as a Pluralistic Scientific Tool for Economic Planning: On Lawrence R. Klein’s Econometrics Erich Pinzón Fuchs† October 2014 Abstract Lawrence R. Klein (1920-2013) played a major role in the construction and in the further dissemination of econometrics from the 1940s. Considered as one of the main developers and practitioners of macroeconometrics, Klein’s influence is reflected in his application of econometric modelling “to the analysis of economic fluctuations and economic policies” for which he was awarded the Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel in 1980. -
Biostatistics Student Paper Competition the Department of Biostatistics at BUSPH Is Soliciting Applications for the 2013 Student Paper Competition
Biostatistics Student Paper Competition The Department of Biostatistics at BUSPH is soliciting applications for the 2013 student paper competition. The competition is open to all students enrolled in the Biostatistics Program at Boston University in the spring term of 2013. The winner of the competition will receive $750 as a travel award to attend the summer Joint Statistical Meetings. Travel to other conferences (i.e. ENAR, Society for Clinical Trials, American Society of Human Genetics, International Genetic Epidemiology Society) is possible in negotiation with the award committee. All students are strongly encouraged to submit the abstracts from their papers to the Joint Statistical Meetings, which has a deadline of February 4th. Students would also be encouraged to consider entering the competitions sponsored by sections of the Joint Statistical Meetings (e.g. The Biometrics section Byar Young Investigator award, for details see http://www.bio.ri.ccf.org/Biometrics/winner.html). TIMETABLE: January 11th, 2013 at noon: Deadline for students to submit pdf of manuscript January 25th, 2013: Announcement of awards REQUIREMENTS: The paper should be prepared double spaced, in manuscript format, using guidelines for authors typical of a biostatistical journal (e.g. Biometrics, Statistics in Medicine, or Biostatistics). A pdf copy of the manuscript should be submitted to the chair of the award committee, Ching-Ti Liu ([email protected]). The reported work should be relevant to biostatistics and must be the work of the student, although the manuscript can be co-authored with a faculty advisor or a small number of collaborators. The student must be the first author of the manuscript. -
Biometrical Applications in Biological Sciences-A Review on the Agony for Their Practical Efficiency- Problems and Perspectives
Biometrics & Biostatistics International Journal Review Article Open Access Biometrical applications in biological sciences-A review on the agony for their practical efficiency- Problems and perspectives Abstract Volume 7 Issue 5 - 2018 The effect of the three biological sciences- agriculture, environment and medicine S Tzortzios in the people’s life is of the greatest importance. The chain of the influence of the University of Thessaly, Greece environment to the form and quality of the agricultural production and the effect of both of them to the people’s health and welfare consists in an integrated system Correspondence: S Tzortzios, University of Thessaly, Greece, that is the basic substance of the human life. Agriculture has a great importance in Email [email protected] the World’s economy; however, the available resources for research and technology development are limited. Moreover, the environmental and productive conditions are Received: August 12, 2018 | Published: October 05, 2018 very different from one country to another, restricting the generalized transferring of technology. The statistical methods should play a paramount role to insure both the objectivity of the results of agricultural research as well as the optimum usage of the limited resources. An inadequate or improper use of statistical methods may result in wrong conclusions and in misuse of the available resources with important scientific and economic consequences. Many times, Statistics is used as a basis to justify conclusions of research work without considering in advance the suitability of the statistical methods to be used. The obvious question is: What importance do biological researchers give to the statistical methods? The answer is out of any doubt and the fact that most of the results published in specialized journals includes statistical considerations, confirms its importance. -
Physica a the Pre-History of Econophysics and the History of Economics: Boltzmann Versus the Marginalists
Physica A 507 (2018) 89–98 Contents lists available at ScienceDirect Physica A journal homepage: www.elsevier.com/locate/physa The pre-history of econophysics and the history of economics: Boltzmann versus the marginalists Geoffrey Poitras 1 Simon Fraser University, Vancouver B.C., Canada V5A lS6 h i g h l i g h t s • A comparative intellectual history of econophysics and economic science is provided to demonstrate why and how econophysics is distinct from economics. • The history and role of the ergodicity hypothesis of Ludwig Boltzmann is considered. • The use of phenomenological methods in econophysics is detailed. • The role of ergodicity in empirical estimates of models in economics is identified. article info a b s t r a c t Article history: This paper contrasts developments in the pre-history of econophysics with the history of Received 7 January 2018 economics. The influence of classical physics on contributions of 19th century marginalists Received in revised form 17 March 2018 is identified and connections to the subsequent development of neoclassical economics Available online 21 May 2018 discussed. The pre-history of econophysics is traced to a seminal contribution in the history of statistical mechanics: the classical ergodicity hypothesis introduced by L. Boltzmann. Keywords: The subsequent role of the ergodicity hypothesis in empirical testing of the deterministic Ergodicity Ludwig Boltzmann theories of neoclassical economics is identified. The stochastic models used in modern eco- Econophysics nomics are compared with the more stochastically complex models of statistical mechanics Neoclassical economics used in econophysics. The influence of phenomenology in econophysics is identified and Marginal revolution discussed. -
Newsletter of the Department of Mathematics and Statistics, UMBC
News@Math&Stat Department of Mathematics and Statistics University of Maryland, Baltimore County 1000 Hilltop Circle, Baltimore, MD 21250, 410-455-2412, www.math.umbc.edu Spring 2012, Volume 7, Issue 1, Editor: Angela McNulty ([email protected]) Welcome by Department Chair Nagaraj K. Neerchal It is a pleasure to bring to you the Spring 2012 issue of the department newsletter. The Mathematics and Statistics Department hosted two large conferences; the Infinite Possibilities Conference, which is designed to support minority women in mathematics, and our 6th annual Probability and Statistics Day Conference. Both were a huge success! We’ve also had a number of students recognized throughout the semester at URCAD, the Graduate Research Conference, and Student Recognition Day for their academic and research achievements. Several faculty members have also been recognized this semester for their achievements in teaching and research. I am proud to say that we have a very talented and dedicated group of faculty and students in this department, and it showed this semester! Thank you to everyone who helped to make this spring yet another successful semester for the department. News from the Graduate Program by Program Directors Muruhan Rathinam and Junyong Park Congratulations to the following students who have completed their Master of Science degrees in Applied Mathematics or Statistics in May 2012! In Applied Mathematics: Jesse Haas, Jonathan McHenry*, Jyoti Saraswat*, Serap Tay*, and Ting Wang*. In Statistics: Joshua Betz, Paula Borrego Garza, Sungwoo Choi*, and Merve Gurlu. The students with asterisks beside their names will be continuing their studies in the PhD program. -
Statistics in the International Encyclopedia of the Social Sciences
154 STATISTICS IN THE INTERNATIONAL ENCYCLOPEDIA OF THE SOCIAL SCIENCES William Kruskal, University of Chicago A,number of interesting problems ESTIMATION have been faced in planning the sixty - I Point estimation odd statistical articles for the forth- (D. L. Burkholder) coming International Encyclopedia of the II Confidence intervals and regions Social Sciences. An encyclopedia has (J. Pfanzagl) many functions, and users approach it EVIDENCE, STATISTICS AS LEGAL in many ways. Should articles be pri- (Hans Zeisel) marily essays about parts of statistics, EXPERIMENTAL DESIGN without attempt at full coverage? I The design of experiments Should articles be handbook -like terse (William G. Cochran) summaries? How should controversial II Response surfaces (George E. P. areas, and widely differing viewpoints Box) towards statistics be treated? What III Quasi- experimental design about level of exposition? Following (Donald T. Campbell) discussion of such issues, brief des- IV Social experiments (Fred L. criptions were given of the intensive Strodtbeck) work on accuracy, clarity of exposition, EXPLANATION (Sidney Morgenbesser) etc., and of the structure of the sta- FACTOR ANALYSIS tistical topics to be treated. I Statistical aspects (A. E. Maxwell) PRELIMINARY LIST OF STATISTICS AND II Psychological applications STATISTICS - RELATED ARTICLES IN THE (Lloyd G. Humphreys) INTERNATIONAL ENCYCLOPEDIA OF THE FALLACIES, STATISTICAL (Irving John Good) SOCIAL SCIENCES FIDUCIAL INFERENCE (R. A. Fisher) GEOGRAPHY: Statistical Geography Topical Articles (Brian J. L. Berry) GOODNESS OF FIT (Herbert T. David) BAYESIAN INFERENCE (Harry V. Roberts) GOVERNMENT STATISTICS (Nathan Keyfitz) CAUSATION (Herbert A. Simon) GRAPHICS (Calvin F. Schmid) CENSUS (Conrad Taeuber) HYPOTHESIS TESTING (E. L. Lehmann) CLUSTERING (David Wallace) IDENTIFIABILITY, STATISTICAL COHORT ANALYSIS (Norman B. -
Xin-Tu-CV.Pdf
UNIVERSITY OF ROCHESTER Curriculum Vitae December 2013 Xin Ming Tu, Ph.D. Office Address: Department of Biostatistics and Computational Biology University of Rochester 601 Elmwood Ave., Box 630 Rochester, NY 14642 Telephone: (585) 275-0413 (Office) FAX: (585) 573-4865 Email: [email protected] Education: 1982 B.S. Fudan University, Shanghai, People’s Republic of China (Mathematics) 1986 M.A. Duke University, (Statistics and Numerical Analysis) 1989 Ph.D. Duke University, (Statistics and Applied Mathematics) Postgraduate Training and Fellowship Appointments: 1990-1992 Post Doctoral Fellow, Department of Biostatistics, Harvard School of Public Health Military Service: None Faculty Appointments: 1992-1998 Assistant Professor of Statistics and Psychiatry, Department of Statistics and Department of Psychiatry, University of Pittsburgh 1998-1998 Associate Professor of Statistics and Psychiatry, Department of Statistics and Department of Psychiatry, University of Pittsburgh Xin Ming Tu, Ph.D. 2 1998-2003 Associate Professor of Biostatistics, Department of Biostatistics and Epidemiology, University of Pennsylvania, School of Medicine 2003-present Professor of Biostatistics and Psychiatry, Department of Biostatistics and Computational Biology and Department of Psychiatry, University of Rochester School of Medicine 2003-present Director, Statistical Consulting Services (http://www.urmc.rochester.edu/biostat/consulting/) 2007-present Director, Division of Psychiatric Statistics (http://www.urmc.rochester.edu/biostat/dps/) 2007-present Director,