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New Cambridge Statistical Tables

Author : Dennis V. Lindley

Publisher : Cambridge University Press

Page : 96 pages

File Size : 39,93 MB

Release : 1995-08-03

Category : Mathematics

ISBN : 9780521484855

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Book Description

The latest edition of this very successful and authoritative set of tables, first published in 1984, still benefits from clear typesetting, which makes the figures easy to read and use, but has been improved by the addition of new tables. These give 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. The authors have taken great care to ensure the clarity of the tables and how their values may be used; the tables are easily interpolated. The book contains all the tables likely to be required for elementary statistical methods in the social, business and natural sciences, and will be an essential aid for teachers, users and students in these areas.





New Cambridge Statistical Tables

Author : D. V. Lindley

Publisher : Cambridge University Press

Page : 100 pages

File Size : 22,61 MB

Release : 1995-08-03

Category : Mathematics

ISBN : 1107469457

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Book Description

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.



Elementary Probability

Author : David Stirzaker

Publisher : Cambridge University Press

Page : 540 pages

File Size : 31,75 MB

Release : 2003-08-18

Category : Mathematics

ISBN : 1139441035

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Book Description

Now available in a fully revised and updated second edition, this well established textbook provides a straightforward introduction to the theory of probability. The presentation is entertaining without any sacrifice of rigour; important notions are covered with the clarity that the subject demands. Topics covered include conditional probability, independence, discrete and continuous random variables, basic combinatorics, generating functions and limit theorems, and an introduction to Markov chains. The text is accessible to undergraduate students and provides numerous worked examples and exercises to help build the important skills necessary for problem solving.



CRC Standard Probability and Statistics Tables and Formulae, Student Edition

Author : Stephen Kokoska

Publisher : CRC Press

Page : 260 pages

File Size : 17,5 MB

Release : 2000-03-29

Category : Mathematics

ISBN : 9780849300264

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Book Description

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.



CRC Standard Mathematical Tables and Formulae, 32nd Edition

Author : Daniel Zwillinger

Publisher : CRC Press

Page : 792 pages

File Size : 39,95 MB

Release : 2011-06-22

Category : Mathematics

ISBN : 1439835500

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Book Description

With over 6,000 entries, CRC Standard Mathematical Tables and Formulae, 32nd Edition continues to provide essential formulas, tables, figures, and descriptions, including many diagrams, group tables, and integrals not available online. This new edition incorporates important topics that are unfamiliar to some readers, such as visual proofs and sequences, and illustrates how mathematical information is interpreted. Material is presented in a multisectional format, with each section containing a valuable collection of fundamental tabular and expository reference material. New to the 32nd Edition A new chapter on Mathematical Formulae from the Sciences that contains the most important formulae from a variety of fields, including acoustics, astrophysics, epidemiology, finance, statistical mechanics, and thermodynamics New material on contingency tables, estimators, process capability, runs test, and sample sizes New material on cellular automata, knot theory, music, quaternions, and rational trigonometry Updated and more streamlined tables Retaining the successful format of previous editions, this comprehensive handbook remains an invaluable reference for professionals and students in mathematical and scientific fields.



Statistical Models

Author : David A. Freedman

Publisher : Cambridge University Press

Page : 459 pages

File Size : 39,21 MB

Release : 2009-04-27

Category : Mathematics

ISBN : 1139477315

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Book Description

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.



The Cambridge Handbook of Computing Education Research

Author : Sally A. Fincher

Publisher :

Page : 924 pages

File Size : 47,84 MB

Release : 2019-02-13

Category : Computers

ISBN : 1108756212

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Book Description

This is an authoritative introduction to Computing Education research written by over 50 leading researchers from academia and the industry.



Basic Concepts of Probability and Statistics

Author : J. L. Hodges, Jr.

Publisher : SIAM

Page : 450 pages

File Size : 19,95 MB

Release : 2004-12-01

Category : Mathematics

ISBN : 089871575X

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Book Description

This book provides a mathematically rigorous introduction to the fundamental ideas of modern statistics for readers without a calculus background.



All of Statistics

Author : Larry Wasserman

Publisher : Springer Science & Business Media

Page : 446 pages

File Size : 50,78 MB

Release : 2013-12-11

Category : Mathematics

ISBN : 0387217363

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Book Description

Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.