Download or read book A Monte Carlo Study of Tests for the Independence of Irrelevant Alternatives Property written by Tim R. L. Fry and published by . This book was released on 1993 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The SAGE Handbook of Regression Analysis and Causal Inference written by Henning Best and published by SAGE. This book was released on 2013-12-20 with total page 577 pages. Available in PDF, EPUB and Kindle. Book excerpt: ′The editors of the new SAGE Handbook of Regression Analysis and Causal Inference have assembled a wide-ranging, high-quality, and timely collection of articles on topics of central importance to quantitative social research, many written by leaders in the field. Everyone engaged in statistical analysis of social-science data will find something of interest in this book.′ - John Fox, Professor, Department of Sociology, McMaster University ′The authors do a great job in explaining the various statistical methods in a clear and simple way - focussing on fundamental understanding, interpretation of results, and practical application - yet being precise in their exposition.′ - Ben Jann, Executive Director, Institute of Sociology, University of Bern ′Best and Wolf have put together a powerful collection, especially valuable in its separate discussions of uses for both cross-sectional and panel data analysis.′ -Tom Smith, Senior Fellow, NORC, University of Chicago Edited and written by a team of leading international social scientists, this Handbook provides a comprehensive introduction to multivariate methods. The Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, and regression discontinuities. Each Part starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the method’s logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the book provides a comprehensive discussion of each method’s application, making this an ideal text for PhD students and researchers embarking on their own data analysis.
Download or read book Bayesian Statistical Modelling written by Peter Congdon and published by John Wiley & Sons. This book was released on 2007-04-04 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters. Such developments together with the availability of freeware such as WINBUGS and R have facilitated a rapid growth in the use of Bayesian methods, allowing their application in many scientific disciplines, including applied statistics, public health research, medical science, the social sciences and economics. Following the success of the first edition, this reworked and updated book provides an accessible approach to Bayesian computing and analysis, with an emphasis on the principles of prior selection, identification and the interpretation of real data sets. The second edition: Provides an integrated presentation of theory, examples, applications and computer algorithms. Discusses the role of Markov Chain Monte Carlo methods in computing and estimation. Includes a wide range of interdisciplinary applications, and a large selection of worked examples from the health and social sciences. Features a comprehensive range of methodologies and modelling techniques, and examines model fitting in practice using Bayesian principles. Provides exercises designed to help reinforce the reader’s knowledge and a supplementary website containing data sets and relevant programs. Bayesian Statistical Modelling is ideal for researchers in applied statistics, medical science, public health and the social sciences, who will benefit greatly from the examples and applications featured. The book will also appeal to graduate students of applied statistics, data analysis and Bayesian methods, and will provide a great source of reference for both researchers and students. Praise for the First Edition: “It is a remarkable achievement to have carried out such a range of analysis on such a range of data sets. I found this book comprehensive and stimulating, and was thoroughly impressed with both the depth and the range of the discussions it contains.” – ISI - Short Book Reviews “This is an excellent introductory book on Bayesian modelling techniques and data analysis” – Biometrics “The book fills an important niche in the statistical literature and should be a very valuable resource for students and professionals who are utilizing Bayesian methods.” – Journal of Mathematical Psychology
Download or read book Regression Models for Categorical Dependent Variables Using Stata Second Edition written by J. Scott Long and published by Stata Press. This book was released on 2006 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of the book is to make easier to carry out the computations necessary for the full interpretation of regression nonlinear models for categorical outcomes usign Stata.
Download or read book Simulation based Inference in Econometrics written by Roberto Mariano and published by Cambridge University Press. This book was released on 2000-07-20 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: This substantial volume has two principal objectives. First it provides an overview of the statistical foundations of Simulation-based inference. This includes the summary and synthesis of the many concepts and results extant in the theoretical literature, the different classes of problems and estimators, the asymptotic properties of these estimators, as well as descriptions of the different simulators in use. Second, the volume provides empirical and operational examples of SBI methods. Often what is missing, even in existing applied papers, are operational issues. Which simulator works best for which problem and why? This volume will explicitly address the important numerical and computational issues in SBI which are not covered comprehensively in the existing literature. Examples of such issues are: comparisons with existing tractable methods, number of replications needed for robust results, choice of instruments, simulation noise and bias as well as efficiency loss in practice.
Download or read book Applied Bayesian Modelling written by Peter Congdon and published by John Wiley & Sons. This book was released on 2014-06-25 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tradition of the successful first edition, this book aims to make a wide range of statistical modeling applications accessible using tested code that can be readily adapted to the reader's own applications. The second edition has been thoroughly reworked and updated to take account of advances in the field. A new set of worked examples is included. The novel aspect of the first edition was the coverage of statistical modeling using WinBUGS and OPENBUGS. This feature continues in the new edition along with examples using R to broaden appeal and for completeness of coverage.
Download or read book Applications of Regression for Categorical Outcomes Using R written by David Melamed and published by CRC Press. This book was released on 2023-07-26 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the main models within the GLM (i.e., logistic, Poisson, negative binomial, ordinal, and multinomial). For each model, estimations, interpretations, model fit, diagnostics, and how to convey results graphically are provided. There is a focus on graphic displays of results as these are a core strength of using R for statistical analysis. Many in the social sciences are transitioning away from using Stata, SPSS and SAS, to using R, and this book uses statistical models which are relevant to the social sciences. Social Science Applications of Regression for Categorical Outcomes Using R will be useful for graduate students in the social sciences who are looking to expand their statistical knowledge, and for Quantitative social scientists due to it’s ability to act as a practitioners guide. Key Features: Applied- in the sense that we will provide code that others can easily adapt Flexible- R is basically just a fancy calculator. Our programs will enable users to derive quantities that they can use in their work Timely- many in the social sciences are currently transitioning to R or are learning it now. Our book will be a useful resource Versatile- we will write functions into an R package that can be applied to all of the regression models we will cover in the book Aesthetically pleasing- one advantage of R relative to other software packages is that graphs are fully customizable. We will leverage this feature to yield high-end graphical displays of results Affordability- R is free. R packages are free. There is no need to purchase site licenses or updates.
Download or read book Micro Econometrics written by Myoung-jae Lee and published by Springer Science & Business Media. This book was released on 2009-09-28 with total page 789 pages. Available in PDF, EPUB and Kindle. Book excerpt: Up-to-date coverage of most micro-econometric topics; first half parametric, second half semi- (non-) parametric Many empirical examples and tips in applying econometric theories to data Essential ideas and steps shown for most estimators and tests; well-suited for both applied and theoretical readers
Download or read book Modeling with Data written by Ben Klemens and published by Princeton University Press. This book was released on 2008-10-06 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modeling with Data fully explains how to execute computationally intensive analyses on very large data sets, showing readers how to determine the best methods for solving a variety of different problems, how to create and debug statistical models, and how to run an analysis and evaluate the results. Ben Klemens introduces a set of open and unlimited tools, and uses them to demonstrate data management, analysis, and simulation techniques essential for dealing with large data sets and computationally intensive procedures. He then demonstrates how to easily apply these tools to the many threads of statistical technique, including classical, Bayesian, maximum likelihood, and Monte Carlo methods. Klemens's accessible survey describes these models in a unified and nontraditional manner, providing alternative ways of looking at statistical concepts that often befuddle students. The book includes nearly one hundred sample programs of all kinds. Links to these programs will be available on this page at a later date. Modeling with Data will interest anyone looking for a comprehensive guide to these powerful statistical tools, including researchers and graduate students in the social sciences, biology, engineering, economics, and applied mathematics.
Download or read book Occupational Mobility in Contemporary India written by Nawazuddin Ahmed and published by Taylor & Francis. This book was released on 2023-06-23 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book analyses the magnitude of the relationship between family background and adult occupational and educational outcomes and provides a comprehensive view of intergenerational mobility in the context of religious and caste dynamics in India. Based on nationally representative data sets, the book tracks educational and occupational mobility experiences of different socio-religious groups in contemporary India. Examining primary and secondary data to comprehend the macro picture and the micro details, the book offers insights into intra-generational occupational mobility and the perceptions and expectations of Muslim households. The book presents a classification of jobs and mobility analysis that is built on solid foundations of stratification theories. Moreover, it identifies data and presents evidence on the neighborhood effects in India. Offering an analysis of intergenerational advancement, this book is aimed at researchers in the field of economics, sociology, labor studies, development studies, minority and subaltern studies as well as those interested in the socio-economic issues of disadvantaged socio-religious groups in India.
Download or read book Signaling Effects of Crowdfunding on Venture Investors Decision Making written by Michael Mödl and published by Springer Nature. This book was released on 2020-08-31 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: Michael Mödl examines the impact and signaling effects of crowd-based start-up financing on subsequent venture capital funding rounds. The digital era has substantially expanded the entrepreneurial financing landscape and crowdfunding is emerging as a novel way for young innovative firms to secure scarce early-stage funding. As the evaluations of venture capitalists and business angels remain to be consequential for securing critical resources in later stages, questions on the interactions between new and traditional forms of venture financing arise. Drawing on choice experimental research designs the author provides causal empirical evidence that while “the crowd” is generally seen as a negative signal, it can generate certain positive signals which increase the likelihood of professional venture investors to consider crowdfunded start-ups for investment. The presented findings yield important implications for capital-seeking entrepreneurs, investors and public policy. Dr. Michael Maximilian Mödl completed his dissertation under supervision of Prof. Dietmar Harhoff, Ph.D. at Ludwig-Maximilians-Universität München and at the Max Planck Institute for Innovation and Competition.
Download or read book Discrete Choice Methods with Simulation written by Kenneth Train and published by Cambridge University Press. This book was released on 2003-01-13 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Table of contents
Download or read book Discrete Choice Methods with Simulation written by Kenneth E. Train and published by Cambridge University Press. This book was released on 2009-06-30 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. This second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.
Download or read book A Monte Carlo Study of the Properties of Selected Tests Based on Sample Spacings written by Kweku Ewusi-Mensah and published by . This book was released on 1972 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Let X[subscript 1], X[subscript 2] ... X[subscript n] be n independent random variables each distributed uniformly over the interval (0,1) and let D[subscript 1], D[subscript 2] ... D[subscript n+1] respective spacings of the (n+1) intervals into which the unit interval is divided. There exists a class of statistical problems related to finding the distribution of certain functions of the D[subscript i]. A review of these statistical tests is given in Chapter II. In deriving the properties of the statistics, it is usually assumed that, because the underlying distribution of D[subscript i] is continuous, the problem of tied observations does not arise. However this is a problem the statistician has to face in actual data situations. We have, in this study evaluated the sensitivity of the test statistics to ties and grouping errors. We have also considered how robust the statistics are by evalua- ting their sensitivity under the X[2 over 2] normal (0,1) distributions. The result of this test for robustness will give the applied statistician a valid basis for using the statistics in tests of hypothesis other than those involving the uniform (0,1) distribution. For completeness we have also looked at ties and grouping errors under discrete distributions. In this case the sensitivity of the statistics to the different tie breaking rules is found to depend quite heavily on the number of ties occurring in the data. The Monte Carlo method was used in attacking the problem and results are given in Chapters IV and V.
Download or read book Transport and Information Systems written by Roger Stough and published by Edward Elgar Publishing. This book was released on 2003 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: The subjects of transport and information systems have long been closely linked because they are both complements and substitutes for each other and thus offer potential for more efficient and productive traffic demand management. This important new collection examines the substitution and complementarity hypotheses as well as the impact of new information technology on transport and the increasing adoption of information technology in transportation systems. The volume is organised into five sections. Part I offers a history and overview of the subject, while part II examines the welfare implications of information provision for traffic demand management. Part III discusses the network analysis of intelligent transportation systems and part IV investigates the spatial impacts of information technology and telecommuting. Finally part V looks in detail at case studies. This fascinating new collection will be an essential source of reference to scholars, practitioners and students interested in the subjects of transport and information systems.
Download or read book Maximum Simulated Likelihood Methods and Applications written by William Greene and published by Emerald Group Publishing. This book was released on 2010-12-03 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection of methodological developments and applications of simulation-based methods were presented at a workshop at Louisiana State University in November, 2009. Topics include: extensions of the GHK simulator; maximum-simulated likelihood; composite marginal likelihood; and modelling and forecasting volatility in a bayesian approach.
Download or read book A Monte Carlo Study of Properties of Certain Two sided Sequential Normal Tests written by Kirk Allen Jackson and published by . This book was released on 1975 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt:
