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Data Analysis, Judd



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Автор: Judd
Название:  Data Analysis
ISBN: 9781138819832
Издательство: Taylor&Francis
Классификация:
ISBN-10: 1138819832
Обложка/Формат: Paperback
Страницы: 378
Вес: 0.734 кг.
Дата издания: 15.05.2017
Серия: Psychology
Язык: English
Издание: 3 revised edition
Иллюстрации: 114 tables, black and white
Размер: 255 x 179 x 24
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Psychological methodology, EDUCATION / Statistics,PSYCHOLOGY / Statistics,SOCIAL SCIENCE / Statistics
Подзаголовок: A model comparison approach to regression, anova, and beyond, third edition
Ссылка на Издательство: Link
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Поставляется из: Англии



Bayesian Data Analysis, Third Edition

Автор: Gelman
Название: Bayesian Data Analysis, Third Edition
ISBN: 1439840954 ISBN-13(EAN): 9781439840955
Издательство: Taylor&Francis
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Цена: 13858 р.
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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.

Methods of Microarray Data Analysis II: Papers from CAMDA `01

Автор: Simon M. Lin (Editor), Kimberly F. Johnson
Название: Methods of Microarray Data Analysis II: Papers from CAMDA `01
ISBN: 1475788312 ISBN-13(EAN): 9781475788310
Издательство: Springer
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Цена: 11549 р.
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Описание: In a single reference, readers can learn about the most up-to-date methods, ranging from data normalization, feature selection, and discriminative analysis to machine learning techniques. Methods of Microarray Data Analysis II focuses on a single data set, using a different method of analysis in each chapter.

Statistical Analysis of Financial Data in R

Автор: Carmona, Rene
Название: Statistical Analysis of Financial Data in R
ISBN: 1461487870 ISBN-13(EAN): 9781461487876
Издательство: Springer
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Цена: 12704 р.
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Описание: Addressing the most challenging issues faced by financial engineers, this book shows how sophisticated mathematics and modern statistical techniques can be used in concrete financial problems. Includes practical examples solved in the R computing environment.

Proceedings of the Second Seattle Symposium in Biostatistics / Analysis of Correlated Data

Автор: Lin D.Y., Heagerty P.J.
Название: Proceedings of the Second Seattle Symposium in Biostatistics / Analysis of Correlated Data
ISBN: 0387208623 ISBN-13(EAN): 9780387208626
Издательство: Springer
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Цена: 12126 р.
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Описание: This volume contains a selection of papers presented at the Second Seattle Symposium in Biostatistics: Analysis of Correlated Data. The symposium was held in 2000 to celebrate the 30th anniversary of the University of Washington School of Public Health and Community Medicine. It featured keynote lectures by Norman Breslow, David Cox and Ross Prentice and 16 invited presentations by other prominent researchers. The papers contained in this volume encompass recent methodological advances in several important areas, such as longitudinal data, multivariate failure time data and genetic data, as well as innovative applications of the existing theory and methods. This volume is a valuable reference for researchers and practitioners in the field of correlated data analysis.

Qualitative Data Analysis

Автор: Grbich C
Название: Qualitative Data Analysis
ISBN: 1412921422 ISBN-13(EAN): 9781412921428
Издательство: Sage Publications
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Цена: 9176 р.
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Описание: Providing examples, a glossary, further reading lists and a three-chapter section on writing up, this guide addresses issues in the analysis of qualitative data by covering specific analytical approaches including: classical, auto- and cyberethnography as well as ethnodrama; classical, existential and hermeneutic phenomenology; and more.

Qualitative Data Analysis

Автор: Grbich C
Название: Qualitative Data Analysis
ISBN: 1412921430 ISBN-13(EAN): 9781412921435
Издательство: Sage Publications
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Цена: 2875 р.
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Описание: Addresses various issues in the analysis of qualitative data by covering analytical approaches including: classical, auto- and cyberethnography as well as ethnodrama; grounded theory; classical, existential and hermeneutic phenomenology; feminist research including memory work; content, narrative, conversation and discourse analysis; and more.

A Course in Categorical Data Analysis

Автор: Leonard
Название: A Course in Categorical Data Analysis
ISBN: 1584881801 ISBN-13(EAN): 9781584881803
Издательство: Taylor&Francis
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Цена: 15125 р.
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Описание: Developed from long experience in teaching categorical analysis to a multidisciplinary mix of students, this text presents straightforward ways of extracting real-life conclusions from contingency tables. The author uses a Fisherian approach to categorical data analysis and incorporates numerous examples and real data sets. He chooses methods and an approach that nurtures intuitive thinking, offering tools that should enable readers to draw scientific, medical or real-life conclusions from categorical data sets.

An Introduction to Multivariate Statistical Analysis, Third Edition

Автор: T. W. Anderson
Название: An Introduction to Multivariate Statistical Analysis, Third Edition
ISBN: 0471360910 ISBN-13(EAN): 9780471360919
Издательство: Wiley
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Цена: 21313 р.
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Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.

Data Analysis Using Stata, Third Edition

Автор: Kohler
Название: Data Analysis Using Stata, Third Edition
ISBN: 1597181102 ISBN-13(EAN): 9781597181105
Издательство: Taylor&Francis
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Цена: 10036 р.
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Описание: Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks. The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition includes advanced topics, such as factor-variables notation, average marginal effects, standard errors in complex survey, and multiple imputation in a way, that beginners of both data analysis and Stata can understand. Using data from a longitudinal study of private households, the authors provide examples from the social sciences that are relatable to researchers from all disciplines. The examples emphasize good statistical practice and reproducible research. Readers are encouraged to download the companion package of datasets to replicate the examples as they work through the book. Each chapter ends with exercises to consolidate acquired skills.

An Introduction to Analysis of Financial Data with R

Автор: Tsay
Название: An Introduction to Analysis of Financial Data with R
ISBN: 0470890819 ISBN-13(EAN): 9780470890813
Издательство: Wiley
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Цена: 15813 р.
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Описание: A complete set of statistical tools for beginning financial analysts from a leading authority Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data.

Analysis of Multivariate and High-Dimensional Data

Автор: Koch
Название: Analysis of Multivariate and High-Dimensional Data
ISBN: 0521887933 ISBN-13(EAN): 9780521887939
Издательство: Cambridge Academ
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Цена: 8216 р.
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Описание: 'Big data' poses challenges that require both classical multivariate methods and contemporary techniques from machine learning and engineering. This modern text equips you for the new world - integrating the old and the new, fusing theory and practice and bridging the gap to statistical learning. The theoretical framework includes formal statements that set out clearly the guaranteed 'safe operating zone' for the methods and allow you to assess whether data is in the zone, or near enough. Extensive examples showcase the strengths and limitations of different methods with small classical data, data from medicine, biology, marketing and finance, high-dimensional data from bioinformatics, functional data from proteomics, and simulated data. High-dimension low-sample-size data gets special attention. Several data sets are revisited repeatedly to allow comparison of methods. Generous use of colour, algorithms, Matlab code, and problem sets complete the package. Suitable for master's/graduate students in statistics and researchers in data-rich disciplines.

Data Analysis With Competing Risks And Intermediate States

Автор: Ronald B. Geskus
Название: Data Analysis With Competing Risks And Intermediate States
ISBN: 1466570350 ISBN-13(EAN): 9781466570351
Издательство: Taylor&Francis
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Цена: 8936 р.
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Описание:

Data Analysis with Competing Risks and Intermediate States explains when and how to use models and techniques for the analysis of competing risks and intermediate states. It covers the most recent insights on estimation techniques and discusses in detail how to interpret the obtained results.

After introducing example studies from the biomedical and epidemiological fields, the book formally defines the concepts that play a role in analyses with competing risks and intermediate states. It addresses nonparametric estimation of the relevant quantities. The book then shows how to use a stacked data set that offers great flexibility in the modeling of covariable effects on the transition rates between states. It also describes three ways to quantify effects on the cumulative scale.

Each chapter includes standard exercises that reflect on the concepts presented, a section on software that explains options in SAS and Stata and the functionality in the R program, and computer practicals that allow readers to practice with the techniques using an existing data set of bone marrow transplant patients. The book's website provides the R code for the computer practicals along with other material.

For researchers with some experience in the analysis of standard time-to-event data, this practical and thorough treatment extends their knowledge and skills to the competing risks and multi-state settings. Researchers from other fields can also easily translate individuals and diseases to units and phenomena from their own areas.


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