The practice and theory of statistics has developed rapidly over the past 25 years in tandem with the greatly increased power of computers, and this has revolutionized the way in which statisticians can manipulate and analyze data. This book collates all the basic tools for statistical modelling and identifies the primary principles that are currently used. As well as covering modern techniques, the material of the book integrates and revises standard probability and statistical theory, and over 50 short Matlab programs are incorporated in the text.

Applied Stochastic Modelling (Arnold Texts in Statistics)

Business & Money

Morgan, Byron J.T.

Economics

Hodder Arnold

Elements of Simulation

Science & Math

Mathematics

London; NY: Chapman and Hall

Elements of Simulation (Chapman & Hall/CRC Texts in Statistical Science)

This book provides a guide to the elements of simulation in statistics, which will include developments and which may be used either as a teaching text or as a source of reference. It is widely used for teaching statistics in schools.

Chapman and Hall/CRC

This book takes the standard methods as the starting point, and then describes a wide range of relatively new approaches and procedures designed to deal with more complicated data and experiments - including much recent research in the area. Throughout mention is given to the computing requirements - facilities available in large computing packages like BMDP, SAS and SPSS are also described.

Analysis of Quantal Response Data (Monographs on Statistics and Applied Probability, 46)

Biological Sciences

Springer

Applied Stochastic Modelling (Chapman & Hall/CRC Texts in Statistical Science)

Highlighting modern computational methods, Applied Stochastic Modelling, Second Edition provides students with the practical experience of scientific computing in applied statistics through a range of interesting real-world applications. It also successfully revises standard probability and statistical theory. Along with an updated bibliography and improved figures, this edition offers numerous updates throughout. New to the Second Edition An extended discussion on Bayesian methods A large number of new exercises A new appendix on computational methods The book covers both contemporary and classical aspects of statistics, including survival analysis, Kernel density estimation, Markov chain Monte Carlo, hypothesis testing, regression, bootstrap, and generalised linear models. Although the book can be used without reference to computational programs, the author provides the option of using powerful computational tools for stochastic modelling. All of the data sets and MATLAB and R programs found in the text as well as lecture slides and other ancillary material are available for download at www.crcpress.com Continuing in the bestselling tradition of its predecessor, this textbook remains an excellent resource for teaching students how to fit stochastic models to data.

An important first step in studying the demography of wild animals is to identify the animals uniquely through applying markings, such as rings, tags, and bands. Once the animals are encountered again, researchers can study different forms of capture-recapture data to estimate features, such as the mortality and size of the populations. Capture-recapture methods are also used in other areas, including epidemiology and sociology. With an emphasis on ecology, Analysis of Capture-Recapture Data covers many modern developments of capture-recapture and related models and methods and places them in the historical context of research from the past 100 years. The book presents both classical and Bayesian methods. A range of real data sets motivates and illustrates the material and many examples illustrate biometry and applied statistics at work. In particular, the authors demonstrate several of the modeling approaches using one substantial data set from a population of great cormorants. The book also discusses which computer programs to use for implementing the models and contains 130 exercises that extend the main material. The data sets, computer programs, and other ancillaries are available at www.capturerecapture.co.uk. The book is accessible to advanced undergraduate and higher-level students, quantitative ecologists, and statisticians. It helps readers understand model formulation and applications, including the technicalities of model diagnostics and checking.

Analysis of Capture-Recapture Data (Chapman & Hall/CRC Interdisciplinary Statistics)

McCrea, Rachel S.

Highlighting modern computational methods, Applied Stochastic Modelling, Second Edition provides students with the practical experience of scientific computing in applied statistics through a range of interesting real-world applications. It also successfully revises standard probability and statistical theory. Along with an updated bibliography and improved figures, this edition offers numerous updates throughout. New to the Second Edition <ul>
<li>An extended discussion on Bayesian methods</li> <li>A large number of new exercises </li> <li>A new appendix on computational methods</li> </ul> The book covers both contemporary and classical aspects of statistics, including survival analysis, Kernel density estimation, Markov chain Monte Carlo, hypothesis testing, regression, bootstrap, and generalised linear models. Although the book can be used without reference to computational programs, the author provides the option of using powerful computational tools for stochastic modelling. All of the data sets and MATLAB® and R programs found in the text as well as lecture slides and other ancillary material are available for download at www.crcpress.com Continuing in the bestselling tradition of its predecessor, this textbook remains an excellent resource for teaching students how to fit stochastic models to data.

Originally published in 1986, this book consists of 100 problems in probability and statistics, together with solutions and, most importantly, extensive notes on the solutions. The level of sophistication of the problems is similar to that encountered in many introductory courses in probability and statistics. At this level, straightforward solutions to the problems are of limited value unless they contain informed discussion of the choice of technique used, and possible alternatives. The solutions in the book are therefore elaborated with extensive notes which add value to the solutions themselves. The notes enable the reader to discover relationships between various statistical techniques, and provide the confidence needed to tackle new problems.

STATISTICS: PROBLEMS AND SOLUTION (SECOND EDITION)

Jones, Byron

Bassett, Eryl E

Bremner, J Mike

Jolliffe, Ian T

North, P. M.

World Scientific Publishing Company

See the best price to sell, buy, or rent books by Morgan, Byron J.T.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Morgan, Byron J.T.

See the best price to sell, buy, or rent books by Morgan, Byron J.T.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Applied Stochastic Modelling (Arnold Texts in Statistics)

Elements of Simulation

Elements of Simulation (Chapman & Hall/CRC Texts in Statistical Science)

Analysis of Quantal Response Data (Monographs on Statistics and Applied Probability, 46)

Applied Stochastic Modelling (Chapman & Hall/CRC Texts in Statistical Science)

Elements of Simulation (Chapman & Hall/CRC Texts in Statistical Science)

Analysis of Capture-Recapture Data (Chapman & Hall/CRC Interdisciplinary Statistics)

Applied Stochastic Modelling (Chapman & Hall/CRC Texts in Statistical Science)

STATISTICS: PROBLEMS AND SOLUTION (SECOND EDITION)