by North-Holland Pub. Co., sole distributors for the U.S.A. and Canada, Elsevier North-Holland in Amsterdam, New York, New York .
Written in English
|Statement||edited by K. Matusita.|
|Contributions||Matsushita, Kameo, 1917-|
|LC Classifications||QA276.A1 I535 1979|
|The Physical Object|
|Pagination||ix, 364 p. :|
|Number of Pages||364|
|LC Control Number||80020759|
Exact Statistical Methods for Data Analysis by Samaradasa Weerahandi English | PDF | | Pages | ISBN: | MB Now available in paperback. This book covers some recent developments in statistical inference. The author's main aim is to develop a theory of generalized p-values and generalized confidence intervals and to show how these concepts may be used to make . The first 3/4 of the course will concentrate on "classical" multivariate analysis, i.e, distribution theory and statistical inference based on the multivariate normal distribution. The last 1/4 will cover special topics of interest to the instructor and/or requested by the class. It then goes on to examine missing data in experiments, before discussing complete-case and available-case analysis, including weighting methods. The new edition expands its coverage to include recent work on topics such as nonresponse in sample surveys, causal inference, diagnostic methods, and sensitivity analysis, among a host of other topics. The Nature of the Book This book is a text for a first course in statistical concepts and methods. It introduces the analysis of data and statistical inference and explains various methods in enough detail so that the student can apply them. Little mathematical .
A one-of-a-kind guide to identifying and dealing with modern statistical developments in causality. Written by a group of well-known experts, Statistics and Causality: Methods for Applied Empirical Research focuses on the most up-to-date developments in statistical methods in respect to rating the properties of statistical methods to theories of causality, the book features a. Offered by Duke University. This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable for clients or the public. Using numerous data examples, you will learn to report estimates of quantities in a way that. Exploratory data analysis is a key part of the data science process because it allows you to sharpen your question and refine your modelling strategies to develop more complex statistical models. This book covers the plotting systems in R as well as some of the basic principles of constructing informative data graphics and some of the common. One of the hallmarks of the development of political science as a discipline has been the creation of new methodologies by scholars within the discipline--methodologies that are well-suited to the analysis of political data. Gary King has been a leader in the development of these new approaches to the analysis of political data. In his book, Unifying Political Methodology, King shows how the.
as an electronic book at the DESY library. The present book is addressed mainly to master and Ph.D. students but also to physicists who are interested to get an intro-duction into recent developments in statistical methods of data analysis in particle physics. When reading the book, some parts can be skipped, especially in the ﬁrst ﬁve. The new organization presents information in a logical, easy-to-grasp sequence, incorporating the latest trends and scholarship in the field of probability and statistical inference. Balanced coverage of probability and statistics includes: Five chapters that focus on probability and probability distributions, including discrete data, order statistics, multivariate distributions, and normal. Springer Texts in Statistics Alfred: Elements of Statistics for the Life and Social Sciences Berger: An Introduction to Probability and Stochastic Processes Bilodeau and Brenner:Theory of Multivariate Statistics Blom: Probability and Statistics: Theory and Applications Brockwell and Davis:Introduction to Times Series and Forecasting, Second Edition Chow and Teicher:Probability Theory. Comparative Statistical Inference, Third Edition Vic Barnett(auth.) This fully updated and revised third edition, presents a wide ranging, balanced account of the fundamental issues across the full spectrum of inference and decision-making.