Multiple Comparisons, Selection and Applications in Biometry PDF Download
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Author: Fred. M. Hoppe
Publisher: CRC Press
ISBN: 1000104923
Category : Mathematics
Languages : en
Pages : 576
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Book Description
Aims to provide in-depth descriptions of the latest developments in multiple comparison methods and selection procedures, while emphasizing biometry. This text is published in honour of the 70th birthday of Charles W. Dunnett - a pioneer in statistical methodology.
Author: Fred. M. Hoppe
Publisher: CRC Press
ISBN: 1000104923
Category : Mathematics
Languages : en
Pages : 576
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Book Description
Aims to provide in-depth descriptions of the latest developments in multiple comparison methods and selection procedures, while emphasizing biometry. This text is published in honour of the 70th birthday of Charles W. Dunnett - a pioneer in statistical methodology.
Author: Fred. M. Hoppe
Publisher: CRC Press
ISBN: 1000148130
Category : Mathematics
Languages : en
Pages : 580
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Book Description
Aims to provide in-depth descriptions of the latest developments in multiple comparison methods and selection procedures, while emphasizing biometry. This text is published in honour of the 70th birthday of Charles W. Dunnett - a pioneer in statistical methodology.
Author: Nitis Mukhopadhyay
Publisher: CRC Press
ISBN: 9780824790783
Category : Mathematics
Languages : en
Pages : 434
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Book Description
"This useful volume provides a thorough synthesis of second-order asymptotics in multistage sampling methodologies for selection and ranking unifying available second-order results in general and applying them to a host of situations Contains, in each chapter, helpful Notes and Overviews to facilitate comprehension, as well as Complements and Problems for more in-depth study of specific topics!"
Author: Shein-Chung Chow
Publisher: Routledge
ISBN: 1351468561
Category : Mathematics
Languages : en
Pages : 556
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Book Description
This work details the statistical inference of linear models including parameter estimation, hypothesis testing, confidence intervals, and prediction. The authors discuss the application of statistical theories and methodologies to various linear models such as the linear regression model, the analysis of variance model, the analysis of covariance model, and the variance components model.
Author: Michiko Watanabe
Publisher: CRC Press
ISBN: 0824757025
Category : Mathematics
Languages : en
Pages : 214
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Book Description
Exploring the application and formulation of the EM algorithm, The EM Algorithm and Related Statistical Models offers a valuable method for constructing statistical models when only incomplete information is available, and proposes specific estimation algorithms for solutions to incomplete data problems. The text covers current topics including statistical models with latent variables, as well as neural network models, and Markov Chain Monte Carlo methods. It describes software resources valuable for the processing of the EM algorithm with incomplete data and for general analysis of latent structure models of categorical data, and studies accelerated versions of the EM algorithm.
Author: R.W. Farebrother
Publisher: CRC Press
ISBN: 9780203908990
Category : Mathematics
Languages : en
Pages : 276
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Book Description
Examines classic algorithms, geometric diagrams, and mechanical principles for enhancing visualization of statistical estimation procedures and mathematical concepts in physics, engineering, and computer programming.
Author: Nitis Mukhopadhyay
Publisher: CRC Press
ISBN: 1000291553
Category : Mathematics
Languages : en
Pages : 694
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Book Description
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
Author: Ranjan K. Som
Publisher: CRC Press
ISBN: 9780824796761
Category : Mathematics
Languages : en
Pages : 676
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Book Description
Second Edition offers a comprehensive presentation of scientific sampling principles and shows how to design a sample survey and analyze the resulting data. Demonstrates the validity of theorems and statements without resorting to detailed proofs.
Author: Nitis Mukhopadhyay
Publisher: CRC Press
ISBN: 9780824753955
Category : Mathematics
Languages : en
Pages : 498
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Book Description
A technically precise yet clear presentation of modern sequential methodologies having immediate applications to practical problems in the real world, Applied Sequential Methodologies communicates invaluable techniques for data mining, agricultural science, genetics, computer simulation, finance, clinical trials, sonar signal detection, randomization, multiple comparisons, psychology, tracking, surveillance, and numerous additional areas of application. Includes more than 500 references, 165 figures and tables, and over 25 pages of subject and author indexes. Applied Sequential Methodologies brings the crucial nature of sequential approaches up to speed with recent theoretical gains, demonstrating their utility for solving real-life problems associated with Change-point detection in multichannel and distributed systems Best component selection for multivariate distributions Multistate processes Approximations for moving sums of discrete random variables Interim and terminal analyses of clinical trials Adaptive designs for longitudinal clinical trials Slope estimation in measurement-error models Tests for randomization and target tracking Appropriate count of simulation runs Stock price models Orders of genes Size and power control in multiple comparisons Authored by 33 leading scientists, this volume will greatly benefit sequential analysts, data analysts, applied statisticians, biometricians, clinical trialists, and upper-level undergraduate and graduate students in these disciplines.
Author: David E. A. Giles
Publisher: CRC Press
ISBN: 9780203911570
Category : Business & Economics
Languages : en
Pages : 556
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Book Description
Emphasizing the impact of computer software and computational technology on econometric theory and development, this text presents recent advances in the application of computerized tools to econometric techniques and practices—focusing on current innovations in Monte Carlo simulation, computer-aided testing, model selection, and Bayesian methodology for improved econometric analyses.
