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Author : Lee G. Cooper
Publisher :
ISBN 13 :
Total Pages : 62 pages
Book Rating : 4.3/5 ( download)
Download or read book Standardizing Variables in Multiplicative Models written by Lee G. Cooper and published by . This book was released on 1982 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Michael H. Kutner
Publisher : McGraw-Hill/Irwin
ISBN 13 : 9780072386882
Total Pages : 1396 pages
Book Rating : 4.3/5 (868 download)
Download or read book Applied Linear Statistical Models written by Michael H. Kutner and published by McGraw-Hill/Irwin. This book was released on 2005 with total page 1396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Linear regression with one predictor variable; Inferences in regression and correlation analysis; Diagnosticis and remedial measures; Simultaneous inferences and other topics in regression analysis; Matrix approach to simple linear regression analysis; Multiple linear regression; Nonlinear regression; Design and analysis of single-factor studies; Multi-factor studies; Specialized study designs.
Author : Alexander Holmes
Publisher :
ISBN 13 :
Total Pages : 1801 pages
Book Rating : 4./5 ( download)
Download or read book Introductory Business Statistics 2e written by Alexander Holmes and published by . This book was released on 2023-12-13 with total page 1801 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introductory Business Statistics 2e aligns with the topics and objectives of the typical one-semester statistics course for business, economics, and related majors. The text provides detailed and supportive explanations and extensive step-by-step walkthroughs. The author places a significant emphasis on the development and practical application of formulas so that students have a deeper understanding of their interpretation and application of data. Problems and exercises are largely centered on business topics, though other applications are provided in order to increase relevance and showcase the critical role of statistics in a number of fields and real-world contexts. The second edition retains the organization of the original text. Based on extensive feedback from adopters and students, the revision focused on improving currency and relevance, particularly in examples and problems. This is an adaptation of Introductory Business Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.
Author : Joop J. Hox
Publisher : Routledge
ISBN 13 : 1136975357
Total Pages : 393 pages
Book Rating : 4.1/5 (369 download)
Download or read book Multilevel Analysis written by Joop J. Hox and published by Routledge. This book was released on 2010-09-13 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical introduction helps readers apply multilevel techniques to their research. Noted as an accessible introduction, the book also includes advanced extensions, making it useful as both an introduction and as a reference to students, researchers, and methodologists. Basic models and examples are discussed in non-technical terms with an emphasis on understanding the methodological and statistical issues involved in using these models. The estimation and interpretation of multilevel models is demonstrated using realistic examples from various disciplines. For example, readers will find data sets on stress in hospitals, GPA scores, survey responses, street safety, epilepsy, divorce, and sociometric scores, to name a few. The data sets are available on the website in SPSS, HLM, MLwiN, LISREL and/or Mplus files. Readers are introduced to both the multilevel regression model and multilevel structural models. Highlights of the second edition include: Two new chapters—one on multilevel models for ordinal and count data (Ch. 7) and another on multilevel survival analysis (Ch. 8). Thoroughly updated chapters on multilevel structural equation modeling that reflect the enormous technical progress of the last few years. The addition of some simpler examples to help the novice, whilst the more complex examples that combine more than one problem have been retained. A new section on multivariate meta-analysis (Ch. 11). Expanded discussions of covariance structures across time and analyzing longitudinal data where no trend is expected. Expanded chapter on the logistic model for dichotomous data and proportions with new estimation methods. An updated website at http://www.joophox.net/ with data sets for all the text examples and up-to-date screen shots and PowerPoint slides for instructors. Ideal for introductory courses on multilevel modeling and/or ones that introduce this topic in some detail taught in a variety of disciplines including: psychology, education, sociology, the health sciences, and business. The advanced extensions also make this a favorite resource for researchers and methodologists in these disciplines. A basic understanding of ANOVA and multiple regression is assumed. The section on multilevel structural equation models assumes a basic understanding of SEM.
Author : Alvin C. Rencher
Publisher : John Wiley & Sons
ISBN 13 : 0470192607
Total Pages : 690 pages
Book Rating : 4.4/5 (71 download)
Download or read book Linear Models in Statistics written by Alvin C. Rencher and published by John Wiley & Sons. This book was released on 2008-01-07 with total page 690 pages. Available in PDF, EPUB and Kindle. Book excerpt: The essential introduction to the theory and application of linear models—now in a valuable new edition Since most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to move forward to more advanced concepts. The linear model remains the main tool of the applied statistician and is central to the training of any statistician regardless of whether the focus is applied or theoretical. This completely revised and updated new edition successfully develops the basic theory of linear models for regression, analysis of variance, analysis of covariance, and linear mixed models. Recent advances in the methodology related to linear mixed models, generalized linear models, and the Bayesian linear model are also addressed. Linear Models in Statistics, Second Edition includes full coverage of advanced topics, such as mixed and generalized linear models, Bayesian linear models, two-way models with empty cells, geometry of least squares, vector-matrix calculus, simultaneous inference, and logistic and nonlinear regression. Algebraic, geometrical, frequentist, and Bayesian approaches to both the inference of linear models and the analysis of variance are also illustrated. Through the expansion of relevant material and the inclusion of the latest technological developments in the field, this book provides readers with the theoretical foundation to correctly interpret computer software output as well as effectively use, customize, and understand linear models. This modern Second Edition features: New chapters on Bayesian linear models as well as random and mixed linear models Expanded discussion of two-way models with empty cells Additional sections on the geometry of least squares Updated coverage of simultaneous inference The book is complemented with easy-to-read proofs, real data sets, and an extensive bibliography. A thorough review of the requisite matrix algebra has been addedfor transitional purposes, and numerous theoretical and applied problems have been incorporated with selected answers provided at the end of the book. A related Web site includes additional data sets and SAS® code for all numerical examples. Linear Model in Statistics, Second Edition is a must-have book for courses in statistics, biostatistics, and mathematics at the upper-undergraduate and graduate levels. It is also an invaluable reference for researchers who need to gain a better understanding of regression and analysis of variance.
Author : Daniel Navarro
Publisher : Lulu.com
ISBN 13 : 1326189727
Total Pages : 617 pages
Book Rating : 4.3/5 (261 download)
Download or read book Learning Statistics with R written by Daniel Navarro and published by Lulu.com. This book was released on 2013-01-13 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com
Author : Wilfrid Joseph Dixon
Publisher : Univ of California Press
ISBN 13 : 9780520071131
Total Pages : 784 pages
Book Rating : 4.0/5 (711 download)
Download or read book BMDP Statistical Software Manual written by Wilfrid Joseph Dixon and published by Univ of California Press. This book was released on 1990 with total page 784 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Graziella Caselli
Publisher : Academic Press
ISBN 13 : 012765660X
Total Pages : 2857 pages
Book Rating : 4.1/5 (276 download)
Download or read book Demography: Analysis and Synthesis, Four Volume Set written by Graziella Caselli and published by Academic Press. This book was released on 2006-01-03 with total page 2857 pages. Available in PDF, EPUB and Kindle. Book excerpt: This four-volume collection of over 140 original chapters covers virtually everything of interest to demographers, sociologists, and others. Over 100 authors present population subjects in ways that provoke thinking and lead to the creation of new perspectives, not just facts and equations to be memorized. The articles follow a theory-methods-applications approach and so offer a kind of "one-stop shop" that is well suited for students and professors who need non-technical summaries, such as political scientists, public affairs specialists, and others. Unlike shorter handbooks, Demography: Analysis and Synthesis offers a long overdue, thorough treatment of the field. Choosing the analytical method that fits the data and the situation requires insights that the authors and editors of Demography: Analysis and Synthesis have explored and developed. This extended examination of demographic tools not only seeks to explain the analytical tools themselves, but also the relationships between general population dynamics and their natural, economic, social, political, and cultural environments. Limiting themselves to human populations only, the authors and editors cover subjects that range from the core building blocks of population change--fertility, mortality, and migration--to the consequences of demographic changes in the biological and health fields, population theories and doctrines, observation systems, and the teaching of demography. The international perspectives brought to these subjects is vital for those who want an unbiased, rounded overview of these complex, multifaceted subjects. Topics to be covered: * Population Dynamics and the Relationship Between Population Growth and Structure * The Determinants of Fertility * The Determinants of Mortality * The Determinants of Migration * Historical and Geographical Determinants of Population * The Effects of Population on Health, Economics, Culture, and the Environment * Population Policies * Data Collection Methods and Teaching about Population Studies * All chapters share a common format * Each chapter features several cross-references to other chapters * Tables, charts, and other non-text features are widespread * Each chapter contains at least 30 bibliographic citations
Author : William D. Dupont
Publisher : Cambridge University Press
ISBN 13 : 0521849527
Total Pages : 543 pages
Book Rating : 4.5/5 (218 download)
Download or read book Statistical Modeling for Biomedical Researchers written by William D. Dupont and published by Cambridge University Press. This book was released on 2009-02-12 with total page 543 pages. Available in PDF, EPUB and Kindle. Book excerpt: A second edition of the easy-to-use standard text guiding biomedical researchers in the use of advanced statistical methods.
Author : James R. DeLisle
Publisher : Springer Science & Business Media
ISBN 13 : 1461517036
Total Pages : 444 pages
Book Rating : 4.4/5 (615 download)
Download or read book Essays in Honor of James A. Graaskamp: Ten Years After written by James R. DeLisle and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the title indicates, Essays in Honor of James A. Graaskamp: Ten Years After, is a collection of essays written to honor Graaskamp's major contributions to the field of real estate education and practice over the course of three decades. Upon his death in 1988, the industry lost a major influence for advancing the real estate discipline, both as an academic field and a professional field. The authors in this volume seek to extend Graaskamp's contributions and move the real estate discipline forward. The papers address the challenges posed by the market to return our attention to real estate fundamentals, and to strike a proper balance between Main Street and Wall Street. The authors and editors hope that this book will influence the industry to incorporate many of Grasskamp's ideas into mainstream real estate education and practice. Over the course of his career, Graaskamp made many noteworthy contributions to real estate theory and practice, ideas that if resurrected could offset some of the pressure in the industry to move away from market fundamentals. The authors try to capture the essence of Graaskamp's messages, and intend that the papers serve as a point of departure for discussing the future role and nature of real estate education. Part I focuses on the major contributions to the real estate discipline made by Graaskamp and the Wisconsin Real Estate Program. Part II contains some personal recollections and photos of Graaskamp, and also a summary of the groups that make up the Wisconsin Real Estate Program, a major co-sponsor of this volume. The rest of the book's three main parts are structured around major topics that reflect the multidisciplinary nature of real estate as espoused by Graaskamp. Part III treats real estate feasibility and development, Part IV concentrates on real estate valuation, and Part V discusses institutional economics.
Author : Alvan R. Feinstein
Publisher : Yale University Press
ISBN 13 : 0300062990
Total Pages : 644 pages
Book Rating : 4.3/5 ( download)
Download or read book Multivariable Analysis written by Alvan R. Feinstein and published by Yale University Press. This book was released on 1996-01-01 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: A physician with wide experience in both clinical work and research, Dr. Feinstein succeeds in demystifying arcane vocabulary and unfamiliar mathematics. His book is a roadmap taking the reader from the basics of univariate and bivariate statistics, through methods of converting information into data coded for computers, and on to multivariable statistics. Dr.
Author : J. Scott Long
Publisher : SAGE
ISBN 13 : 9780803973749
Total Pages : 334 pages
Book Rating : 4.9/5 (737 download)
Download or read book Regression Models for Categorical and Limited Dependent Variables written by J. Scott Long and published by SAGE. This book was released on 1997-01-09 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evaluates the most useful models for categorical and limited dependent variables (CLDVs), emphasizing the links among models and applying common methods of derivation, interpretation, and testing. The author also explains how models relate to linear regression models whenever possible. Annotation c.
Author : Ivan Svetunkov
Publisher : CRC Press
ISBN 13 : 1000992780
Total Pages : 579 pages
Book Rating : 4.0/5 (9 download)
Download or read book Forecasting and Analytics with the Augmented Dynamic Adaptive Model (ADAM) written by Ivan Svetunkov and published by CRC Press. This book was released on 2023-11-08 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting and Analytics with the Augmented Dynamic Adaptive Model (ADAM) focuses on a time series model in Single Source of Error state space form, called “ADAM” (Augmented Dynamic Adaptive Model). The book demonstrates a holistic view to forecasting and time series analysis using dynamic models, explaining how a variety of instruments can be used to solve real life problems. At the moment, there is no other tool in R or Python that would be able to model both intermittent and regular demand, would support both ETS and ARIMA, work with explanatory variables, be able to deal with multiple seasonalities (e.g. for hourly demand data) and have a support for automatic selection of orders, components and variables and provide tools for diagnostics and further improvement of the estimated model. ADAM can do all of that in one and the same framework. Given the rising interest in forecasting, ADAM, being able to do all those things, is a useful tool for data scientists, business analysts and machine learning experts who work with time series, as well as any researchers working in the area of dynamic models. Key Features: • It covers basics of forecasting, • It discusses ETS and ARIMA models, • It has chapters on extensions of ETS and ARIMA, including how to use explanatory variables and how to capture multiple frequencies, • It discusses intermittent demand and scale models for ETS, ARIMA and regression, • It covers diagnostics tools for ADAM and how to produce forecasts with it, • It does all of that with examples in R.
Author : Gerald Peter Quinn
Publisher : Cambridge University Press
ISBN 13 : 9780521009768
Total Pages : 560 pages
Book Rating : 4.0/5 (97 download)
Download or read book Experimental Design and Data Analysis for Biologists written by Gerald Peter Quinn and published by Cambridge University Press. This book was released on 2002-03-21 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Regression, analysis of variance, correlation, graphical.
Author : Thomas D. Wickens
Publisher : Psychology Press
ISBN 13 : 1317784782
Total Pages : 414 pages
Book Rating : 4.3/5 (177 download)
Download or read book Multiway Contingency Tables Analysis for the Social Sciences written by Thomas D. Wickens and published by Psychology Press. This book was released on 2014-02-25 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the principles and techniques needed to analyze data that form a multiway contingency table. Wickens discusses the description of association in such data using log-linear and log-multiplicative models and defines how the presence of association is tested using hypotheses of independence and quasi-independence. The application of the procedures to real data is then detailed. This volume does not presuppose prior experience or knowledge of statistics beyond basic courses in fundamentals of probability and statistical inference. It serves as an ideal reference for professionals or as a textbook for graduate or advanced undergraduate students involved in statistics in the social sciences.
Author : J. L. Hodges, Jr.
Publisher : SIAM
ISBN 13 : 089871575X
Total Pages : 450 pages
Book Rating : 4.8/5 (987 download)
Download or read book Basic Concepts of Probability and Statistics written by J. L. Hodges, Jr. and published by SIAM. This book was released on 2004-12-01 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a mathematically rigorous introduction to the fundamental ideas of modern statistics for readers without a calculus background.
Author : Melissa A Hardy
Publisher : SAGE
ISBN 13 : 1446203441
Total Pages : 729 pages
Book Rating : 4.4/5 (462 download)
Download or read book Handbook of Data Analysis written by Melissa A Hardy and published by SAGE. This book was released on 2009-06-17 with total page 729 pages. Available in PDF, EPUB and Kindle. Book excerpt: ′This book provides an excellent reference guide to basic theoretical arguments, practical quantitative techniques and the methodologies that the majority of social science researchers are likely to require for postgraduate study and beyond′ - Environment and Planning ′The book provides researchers with guidance in, and examples of, both quantitative and qualitative modes of analysis, written by leading practitioners in the field. The editors give a persuasive account of the commonalities of purpose that exist across both modes, as well as demonstrating a keen awareness of the different things that each offers the practising researcher′ - Clive Seale, Brunel University ′With the appearance of this handbook, data analysts no longer have to consult dozens of disparate publications to carry out their work. The essential tools for an intelligent telling of the data story are offered here, in thirty chapters written by recognized experts. ′ - Michael Lewis-Beck, F Wendell Miller Distinguished Professor of Political Science, University of Iowa ′This is an excellent guide to current issues in the analysis of social science data. I recommend it to anyone who is looking for authoritative introductions to the state of the art. Each chapter offers a comprehensive review and an extensive bibliography and will be invaluable to researchers wanting to update themselves about modern developments′ - Professor Nigel Gilbert, Pro Vice-Chancellor and Professor of Sociology, University of Surrey This is a book that will rapidly be recognized as the bible for social researchers. It provides a first-class, reliable guide to the basic issues in data analysis, such as the construction of variables, the characterization of distributions and the notions of inference. Scholars and students can turn to it for teaching and applied needs with confidence. The book also seeks to enhance debate in the field by tackling more advanced topics such as models of change, causality, panel models and network analysis. Specialists will find much food for thought in these chapters. A distinctive feature of the book is the breadth of coverage. No other book provides a better one-stop survey of the field of data analysis. In 30 specially commissioned chapters the editors aim to encourage readers to develop an appreciation of the range of analytic options available, so they can choose a research problem and then develop a suitable approach to data analysis.
