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Author : Macartan Humphreys
Publisher : Cambridge University Press
Page : 435 pages
File Size : 15,11 MB
Release : 2023-10-31
Category : Social Science
ISBN : 1107169623
Develops a new approach to the use of causal models for qualitative and mixed-method research design and causal inference.
Author : George E. P. Box
Publisher : John Wiley & Sons
Page : 610 pages
File Size : 38,10 MB
Release : 2011-01-25
Category : Mathematics
ISBN : 111803144X
Its main objective is to examine the application and relevance of Bayes' theorem to problems that arise in scientific investigation in which inferences must be made regarding parameter values about which little is known a priori. Begins with a discussion of some important general aspects of the Bayesian approach such as the choice of prior distribution, particularly noninformative prior distribution, the problem of nuisance parameters and the role of sufficient statistics, followed by many standard problems concerned with the comparison of location and scale parameters. The main thrust is an investigation of questions with appropriate analysis of mathematical results which are illustrated with numerical examples, providing evidence of the value of the Bayesian approach.
Author : D.A. Sprott
Publisher : Springer Science & Business Media
Page : 254 pages
File Size : 28,75 MB
Release : 2008-01-28
Category : Mathematics
ISBN : 0387227660
A treatment of the problems of inference associated with experiments in science, with the emphasis on techniques for dividing the sample information into various parts, such that the diverse problems of inference that arise from repeatable experiments may be addressed. A particularly valuable feature is the large number of practical examples, many of which use data taken from experiments published in various scientific journals. This book evolved from the authors own courses on statistical inference, and assumes an introductory course in probability, including the calculation and manipulation of probability functions and density functions, transformation of variables and the use of Jacobians. While this is a suitable text book for advanced undergraduate, Masters, and Ph.D. statistics students, it may also be used as a reference book.
Author : Edward J. O'Brien
Publisher : Cambridge University Press
Page : 439 pages
File Size : 30,38 MB
Release : 2015-04-16
Category : Psychology
ISBN : 131629904X
Inferencing is defined as 'the act of deriving logical conclusions from premises known or assumed to be true', and it is one of the most important processes necessary for successful comprehension during reading. This volume features contributions by distinguished researchers in cognitive psychology, educational psychology, and neuroscience on topics central to our understanding of the inferential process during reading. The chapters cover aspects of inferencing that range from the fundamental bottom-up processes that form the basis for an inference to occur, to the more strategic processes that transpire when a reader is engaged in literary understanding of a text. Basic activation mechanisms, word-level inferencing, methodological considerations, inference validation, causal inferencing, emotion, development of inferences processes as a skill, embodiment, contributions from neuroscience, and applications to naturalistic text are all covered as well as expository text, online learning materials, and literary immersion.
Author : A. H. Welsh
Publisher : John Wiley & Sons
Page : 480 pages
File Size : 22,76 MB
Release : 2011-09-15
Category : Mathematics
ISBN : 1118165438
Relevant, concrete, and thorough--the essential data-based text onstatistical inference The ability to formulate abstract concepts and draw conclusionsfrom data is fundamental to mastering statistics. Aspects ofStatistical Inference equips advanced undergraduate and graduatestudents with a comprehensive grounding in statistical inference,including nonstandard topics such as robustness, randomization, andfinite population inference. A. H. Welsh goes beyond the standard texts and expertly synthesizesbroad, critical theory with concrete data and relevant topics. Thetext follows a historical framework, uses real-data sets andstatistical graphics, and treats multiparameter problems, yet isultimately about the concepts themselves. Written with clarity and depth, Aspects of Statistical Inference: * Provides a theoretical and historical grounding in statisticalinference that considers Bayesian, fiducial, likelihood, andfrequentist approaches * Illustrates methods with real-data sets on diabetic retinopathy,the pharmacological effects of caffeine, stellar velocity, andindustrial experiments * Considers multiparameter problems * Develops large sample approximations and shows how to use them * Presents the philosophy and application of robustness theory * Highlights the central role of randomization in statistics * Uses simple proofs to illuminate foundational concepts * Contains an appendix of useful facts concerning expansions,matrices, integrals, and distribution theory Here is the ultimate data-based text for comparing and presentingthe latest approaches to statistical inference.
Author : Helio S. Migon
Publisher : CRC Press
Page : 388 pages
File Size : 39,64 MB
Release : 2014-09-03
Category : Mathematics
ISBN : 1439878803
A Balanced Treatment of Bayesian and Frequentist Inference Statistical Inference: An Integrated Approach, Second Edition presents an account of the Bayesian and frequentist approaches to statistical inference. Now with an additional author, this second edition places a more balanced emphasis on both perspectives than the first edition. New to the Second Edition New material on empirical Bayes and penalized likelihoods and their impact on regression models Expanded material on hypothesis testing, method of moments, bias correction, and hierarchical models More examples and exercises More comparison between the approaches, including their similarities and differences Designed for advanced undergraduate and graduate courses, the text thoroughly covers statistical inference without delving too deep into technical details. It compares the Bayesian and frequentist schools of thought and explores procedures that lie on the border between the two. Many examples illustrate the methods and models, and exercises are included at the end of each chapter.
Author : Alan Blackwell
Publisher : Springer Science & Business Media
Page : 469 pages
File Size : 30,3 MB
Release : 2004-03-12
Category : Art
ISBN : 354021268X
This book constitutes the refereed proceedings of the Third International Conference, Diagrams 2004, held in Cambridge, UK, in March 2004. The 18 revised full papers and 42 revised poster papers presented together with a survey article and the abstracts of 2 posters were carefully reviewed and selected from a total of 91 submissions. The papers are organized in topical sections on fundamental issues, logical aspects of diagrammatic representation and reasoning, computational aspects of diagrammatic representation and reasoning, cognitive aspects of diagrammatic representation and reasoning, visualizing information with diagrams, diagrams in human-computer interaction, and diagrams in software engineering.
Author : Murray Aitkin
Publisher : CRC Press
Page : 256 pages
File Size : 35,33 MB
Release : 2010-06-02
Category : Mathematics
ISBN : 1420093444
Filling a gap in current Bayesian theory, Statistical Inference: An Integrated Bayesian/Likelihood Approach presents a unified Bayesian treatment of parameter inference and model comparisons that can be used with simple diffuse prior specifications. This novel approach provides new solutions to difficult model comparison problems and offers direct
Author : Kate Cain
Publisher : John Wiley & Sons
Page : 276 pages
File Size : 22,6 MB
Release : 2010-06-21
Category : Psychology
ISBN : 1405151552
Reading Development and Difficulties is a comprehensive and balanced introduction to the development of the two core aspects of reading: good word reading skills and the ability to extract the overall meaning of a text. Unique in its balanced coverage of both word reading and reading comprehension development, this book is an essential resource for undergraduates studying literacy acquisition Offers wide coverage of the subject and discusses both typical development and the development of difficulties in reading Accessibly written for students and professionals with no previous background in reading development or reading difficulties Provides a detailed examination of the specific problems that underlie reading difficulties
Author : Edward J. O'Brien
Publisher : Cambridge University Press
Page : 439 pages
File Size : 24,5 MB
Release : 2015-04-16
Category : Education
ISBN : 1107049792
A study of inferencing from a wide variety of theoretical and disciplinary perspectives, as well as different levels of processing.