Handbook of Statistical Analysis and Data Mining Applications, 2 ed., Robert Nisbet , Gary Miner, Ken Yale
Старое издание
Автор: Malley Название: Statistical Learning for Biomedical Data ISBN: 0521699096 ISBN-13(EAN): 9780521699099 Издательство: Cambridge Academ Рейтинг: Цена: 43290.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Biomedical researchers need machine learning techniques to make predictions such as survival/death or response to treatment when data sets are large and complex. This highly motivating introduction to these machines explains underlying principles in nontechnical language, using many examples and figures, and connects these new methods to familiar techniques.
Автор: Tamhane Название: Statistical Analysis of Designed Experiments - Theory and Applications ISBN: 0471750433 ISBN-13(EAN): 9780471750437 Издательство: Wiley Рейтинг: Цена: 162570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a balanced coverage of underlying theory of statistical analysis of designed experiments and its numerous applications. Data sets from real life studies are used throughout, and graphical as well as formal analyses are illustrated using MINITAB(c) software.
Автор: T. W. Anderson Название: An Introduction to Multivariate Statistical Analysis, Third Edition ISBN: 0471360910 ISBN-13(EAN): 9780471360919 Издательство: Wiley Рейтинг: Цена: 184750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Kohler Название: Data Analysis Using Stata, Third Edition ISBN: 1597181102 ISBN-13(EAN): 9781597181105 Издательство: Taylor&Francis Рейтинг: Цена: 74510.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Myers, Jerome L Название: Research design and statistical analysis ISBN: 0805864318 ISBN-13(EAN): 9780805864311 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Поставка под заказ. Описание: This interdisciplinary group of scholars-anthropologists, archaeologists, architects, educators, lawyers, heritage administrators, policy analysts, and consultants-make the first attempt to define and assess heritage values on a local, national and global level. Chapters range from the theoretical to policy frameworks to case studies of heritage practice, written by scholars from eight countries.
Автор: Guo Shenyang Y., Fraser Mark W. Название: Propensity Score Analysis: Statistical Methods and Applications ISBN: 1452235007 ISBN-13(EAN): 9781452235004 Издательство: Sage Publications Рейтинг: Цена: 120390.00 T Наличие на складе: Невозможна поставка. Описание: Provides readers with a systematic review of the origins, history, and statistical foundations of Propensity Score Analysis (PSA) and illustrates how it can be used for solving evaluation and causal-inference problems.
Автор: Hastings Название: Introduction to Probability with Mathematica, Second Edition ISBN: 1420079387 ISBN-13(EAN): 9781420079388 Издательство: Taylor&Francis Рейтинг: Цена: 183750.00 T Наличие на складе: Невозможна поставка. Описание: Updated to conform to Mathematica (R) 7.0, this second edition shows how to easily create simulations from templates and solve problems using Mathematica. Along with new sections on order statistics, transformations of multivariate normal random variables, and Brownian motion, this edition offers an expanded section on
Автор: Boyhan Название: Agricultural Statistical Data Analysis Using Stata ISBN: 1466585854 ISBN-13(EAN): 9781466585850 Издательство: Taylor&Francis Рейтинг: Цена: 84710.00 T Наличие на складе: Невозможна поставка. Описание:
Practical statistics is a powerful tool used frequently by agricultural researchers and graduate students involved in investigating experimental design and analysis. One of the most widely used statistical analysis software packages for this purpose is Stata. The Stata software program has matured into a user-friendly environment with a wide variety of statistical functions. Agricultural Statistical Data Analysis Using Stata introduces readers to the use of Stata to solve agricultural statistical problems.
The book begins with an overview of statistical software and the Stata program. It explains the various windows and menus and describes how they are integrated. The next chapters explore data entry and importing as well as basic output formats and descriptive statistics. The author describes the ever-increasing design complexity and how this is implemented in the software. He reviews one of Stata's strongest features, which is its programming ability. He also examines post hoc tests as well as Stata's graphing capabilities. The final chapters provide information on regression analysis, data transformations, and the analyses of non-parametric data.
Many agricultural researchers are unprepared for the statistics they will need to use in their profession. Written in an easy-to-read format with screen shots and illustrations, the book is suitable for a wide audience, including beginners in statistics who are new to Stata, as well as more advanced Stata users and those interested in more complex designs.
Автор: Ofungwu Название: Statistical Applications for Environmental Analysis and Risk Assessment ISBN: 1118634535 ISBN-13(EAN): 9781118634530 Издательство: Wiley Рейтинг: Цена: 117160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Statistical Applications for Environmental Analysis and Risk Assessment guides readers through real-world situations and the best statistical methods used to determine the nature and extent of the problem, evaluate the potential human health and ecological risks, and design and implement remedial systems as necessary.
Автор: Ratner Bruce Название: Statistical and Machine-Learning Data Mining ISBN: 1439860912 ISBN-13(EAN): 9781439860915 Издательство: Taylor&Francis Рейтинг: Цена: 60220.00 T Наличие на складе: Поставка под заказ. Описание: Rev. ed. of: Statistical modeling and analysis for database marketing. c2003.
Автор: Berzuini C Название: Causality: Statistical Perspectives and Applications ISBN: 0470665564 ISBN-13(EAN): 9780470665565 Издательство: Wiley Рейтинг: Цена: 71750.00 T Наличие на складе: Поставка под заказ. Описание: Providing a thorough treatment on statistical causality, this resource presents a broad collection of contributions from experts in their fields. Methods and their applications are provided with theoretical background and emphasis is given to practice rather than theory, with technical content kept to a minimum.
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