Basic Experimental Strategies and Data Analysis for Science and Engineering, Lawson John, Erjavec John

Автор: Hamilton, James
Название: Time Series Analysis
ISBN: 0691042896 ISBN-13(EAN): 9780691042893
Издательство: Wiley
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Цена: 73920.00 T
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Описание: A graduate-level text which describes the recent dramatic changes that have taken place in the way that researchers analyze economic and financial time series. It explores such important innovations as vector regression, nonlinear time series models and the generalized methods of moments.

Автор: Gelman
Название: Bayesian Data Analysis, Third Edition
ISBN: 1439840954 ISBN-13(EAN): 9781439840955
Издательство: Taylor&Francis
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Цена: 73920.00 T
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Описание: Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.

Автор: Joseph K. Blitzstein, Jessica Hwang
Название: Introduction to Probability, Second Edition
ISBN: 1138369918 ISBN-13(EAN): 9781138369917
Издательство: Taylor&Francis
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Цена: 74510.00 T
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Описание: Assumes one-semester of calculus. "Stories" make distributions (Normal, Binomial, Poisson that are widely-used in statistics) easier to remember, understand. Many books write down formulas without explaining clearly why these particular distributions are important or how they are all connected.

Автор: Little
Название: Statistical Analysis with Missing Data, Third Edit ion
ISBN: 0470526793 ISBN-13(EAN): 9780470526798
Издательство: Wiley
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Цена: 84430.00 T
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Описание: Reflecting new application topics, Statistical Analysis with Missing Data offers a thoroughly up-to-date, reorganized survey of current methodology for handling missing data problems. The third edition reviews historical approaches to the subject and describe rigorous yet simple methods for multivariate analysis with missing values.

Автор: Anthony C. Atkinson; Luc Pronzato; Henry P. Wynn
Название: MODA 5 - Advances in Model-Oriented Data Analysis and Experimental Design
ISBN: 3790811114 ISBN-13(EAN): 9783790811117
Издательство: Springer
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Цена: 121110.00 T
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Описание: This volume contains 11 papers on optimum designs for linear and non-linear models and groups of papers on designs for quality improvement, designs in agriculture and for model building. Non-design problems include robustness in linear models and estimation problems in non-linear models.

Автор: Michael C. Whitlock, Dolph Schluter
Название: The Analysis of Biological Data
ISBN: 1319325343 ISBN-13(EAN): 9781319325343
Издательство: Macmillan Learning
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Цена: 92390.00 T
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Описание: The evolution of a classicThe new 12th edition of Introduction to Genetic Analysis takes this cornerstone textbook to the next level.

Автор: Fan Jianqing, Pan Jianxin
Название: Contemporary Experimental Design, Multivariate Analysis and Data Mining: Festschrift in Honour of Professor Kai-Tai Fang
ISBN: 3030461602 ISBN-13(EAN): 9783030461607
Издательство: Springer
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Цена: 121110.00 T
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Описание: The collection and analysis of data play an important role in many fields of science and technology, such as computational biology, quantitative finance, information engineering, machine learning, neuroscience, medicine, and the social sciences.

Автор: Robert G. Easterling
Название: Fundamentals of Statistical Experimental Design and Analysis
ISBN: 1118954637 ISBN-13(EAN): 9781118954638
Издательство: Wiley
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Цена: 64360.00 T
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Описание: Professionals in all areas business; government; the physical, life, and social sciences; engineering; medicine, etc. benefit from using statistical experimental design to better understand their worlds and then use that understanding to improve the products, processes, and programs they are responsible for.

Автор: Thomas Bartz-Beielstein; Marco Chiarandini; Lu?s P
Название: Experimental Methods for the Analysis of Optimization Algorithms
ISBN: 364244590X ISBN-13(EAN): 9783642445903
Издательство: Springer
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Цена: 121110.00 T
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Описание: With contributions from leaders in the field, this volume assesses the main issues in the experimental analysis of algorithms, examines their developmental cycle, and demonstrates how to configure and tune algorithms with advanced experimental techniques.

Автор: David Makowski; Fran?ois Piraux; Fran?ois Brun
Название: From Experimental Network to Meta-analysis
ISBN: 9402416951 ISBN-13(EAN): 9789402416954
Издательство: Springer
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Цена: 121110.00 T
Наличие на складе: Нет в наличии.
Описание: This book has been designed as a methodological guide and shows the interests and limitations of different statistical methods to analyze data from experimental networks and to perform meta-analyses. It is intended for engineers, students and researchers involved in data analysis in agronomy and environmental science.

Автор: Brook, Richard J. , Arnold, Gregory C.
Название: Applied Regression Analysis and Experimental Design
ISBN: 0367403412 ISBN-13(EAN): 9780367403416
Издательство: Taylor&Francis
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Цена: 65320.00 T
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Описание: Designed to make theory work for students, this clearly written, easy-to-understand work serves as the ideal texts for courses Regression, Experimental Design, and Linear Models in a broad range of disciplines. Moreover, applied statisticians will find the book a useful reference for the general application of the linear model.

Автор: Khan Shahjahan
Название: Meta-Analysis: Methods for Health and Experimental Studies
ISBN: 9811550344 ISBN-13(EAN): 9789811550348
Издательство: Springer
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Цена: 46570.00 T
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Описание:

Chapter 1. Introduction to meta-analysis.- Chapter 2. Ratio measures.- Chapter 3. One proportion.- Chapter 4. Risk difference (Two proportions).- Chapter 5. Weighted mean difference.- Chapter 6. Standardized mean difference.- Chapter 7. Correlation coefficient.- Chapter 8. Meta-regression.- Chapter 9. Network meta-analysis.- Chapter 10. Publication bias.