New Cambridge Statistical Tables Second Edition
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Author | : D. V. Lindley |
Publisher | : Cambridge University Press |
Total Pages | : 100 |
Release | : 1995-08-03 |
Genre | : Mathematics |
ISBN | : 9780521484855 |
This second edition has all the tables required for elementary statistical methods in the social, business and natural sciences.
Author | : D. V. Lindley |
Publisher | : Cambridge University Press |
Total Pages | : 100 |
Release | : 1995-08-03 |
Genre | : Mathematics |
ISBN | : 1107469457 |
The second edition of this very successful and authoritative set of tables still benefits from clear typesetting, which makes the figures easy to read and use. It has, however, been improved by the addition of new tables that provide Bayesian confidence limits for the binomial and Poisson distributions, and for the square of the multiple correlation coefficient, which have not been previously available. The intervals are the shortest possible, consistent with the requirement on probability. Great care has been taken to ensure that it is clear just what is being tabulated and how the values may be used; the tables are generally capable of easy interpolation. The book contains all the tables likely to be required for elementary statistical methods in the social, business and natural sciences. It will be an essential aid for teachers, researchers and students in those subjects where statistical analysis is not wholly carried out by computers.
Author | : David A. Freedman |
Publisher | : Cambridge University Press |
Total Pages | : 459 |
Release | : 2009-04-27 |
Genre | : Mathematics |
ISBN | : 1139477315 |
This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own. The discussion in the book is organized around published studies, as are many of the exercises. Relevant journal articles are reprinted at the back of the book. Freedman makes a thorough appraisal of the statistical methods in these papers and in a variety of other examples. He illustrates the principles of modelling, and the pitfalls. The discussion shows you how to think about the critical issues - including the connection (or lack of it) between the statistical models and the real phenomena. The book is written for advanced undergraduates and beginning graduate students in statistics, as well as students and professionals in the social and health sciences.
Author | : Jacob Cohen |
Publisher | : Routledge |
Total Pages | : 625 |
Release | : 2013-05-13 |
Genre | : Psychology |
ISBN | : 1134742770 |
Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.
Author | : Dennis Victor Lindley |
Publisher | : |
Total Pages | : 35 |
Release | : 1958 |
Genre | : Statistics |
ISBN | : |
Author | : Joseph M. Hilbe |
Publisher | : Cambridge University Press |
Total Pages | : 573 |
Release | : 2011-03-17 |
Genre | : Mathematics |
ISBN | : 1139500066 |
This second edition of Hilbe's Negative Binomial Regression is a substantial enhancement to the popular first edition. The only text devoted entirely to the negative binomial model and its many variations, nearly every model discussed in the literature is addressed. The theoretical and distributional background of each model is discussed, together with examples of their construction, application, interpretation and evaluation. Complete Stata and R codes are provided throughout the text, with additional code (plus SAS), derivations and data provided on the book's website. Written for the practising researcher, the text begins with an examination of risk and rate ratios, and of the estimating algorithms used to model count data. The book then gives an in-depth analysis of Poisson regression and an evaluation of the meaning and nature of overdispersion, followed by a comprehensive analysis of the negative binomial distribution and of its parameterizations into various models for evaluating count data.
Author | : Steve McKillup |
Publisher | : Cambridge University Press |
Total Pages | : 430 |
Release | : 2011-11-03 |
Genre | : Medical |
ISBN | : 1139502948 |
An understanding of statistics and experimental design is essential for life science studies, but many students lack a mathematical background and some even dread taking an introductory statistics course. Using a refreshingly clear and encouraging reader-friendly approach, this book helps students understand how to choose, carry out, interpret and report the results of complex statistical analyses, critically evaluate the design of experiments and proceed to more advanced material. Taking a straightforward conceptual approach, it is specifically designed to foster understanding, demystify difficult concepts and encourage the unsure. Even complex topics are explained clearly, using a pictorial approach with a minimum of formulae and terminology. Examples of tests included throughout are kept simple by using small data sets. In addition, end-of-chapter exercises, new to this edition, allow self-testing. Handy diagnostic tables help students choose the right test for their work and remain a useful refresher tool for postgraduates.
Author | : Lyle F. Bachman |
Publisher | : Cambridge University Press |
Total Pages | : 382 |
Release | : 2004-11-18 |
Genre | : Foreign Language Study |
ISBN | : 0521802776 |
This book provides language teachers with guidelines to develop suitable listening tests.
Author | : Stephen Kokoska |
Publisher | : CRC Press |
Total Pages | : 260 |
Release | : 2000-03-29 |
Genre | : Mathematics |
ISBN | : 9780849300264 |
Users of statistics in their professional lives and statistics students will welcome this concise, easy-to-use reference for basic statistics and probability. It contains all of the standardized statistical tables and formulas typically needed plus material on basic statistics topics, such as probability theory and distributions, regression, analysis of variance, nonparametric statistics, and statistical quality control. For each type of distribution the authors supply: ? definitions ? tables ? relationships with other distributions, including limiting forms ? statistical parameters, such as variance and generating functions ? a list of common problems involving the distribution Standard Probability and Statistics: Tables and Formulae also includes discussion of common statistical problems and supplies examples that show readers how to use the tables and formulae to get the solutions they need. With this handy reference, the focus can shift from rote learning and memorization to the concepts needed to use statistics efficiently and effectively.
Author | : Nitis Mukhopadhyay |
Publisher | : CRC Press |
Total Pages | : 690 |
Release | : 2020-08-30 |
Genre | : Mathematics |
ISBN | : 100022872X |
Priced very competitively compared with other textbooks at this level! This gracefully organized textbook reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer simulations to develop and illustrate concepts. Beginning wi