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Elementary Statistical Methods, Prasad


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Цена: 79190.00T
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Автор: Prasad
Название:  Elementary Statistical Methods
ISBN: 9789811905957
Издательство: Springer
Классификация:
ISBN-10: 9811905959
Обложка/Формат: Hardback
Страницы: 299
Вес: 0.70 кг.
Дата издания: 20.02.2023
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 5 illustrations, color; 134 illustrations, black and white; xxvi, 299 p. 139 illus., 5 illus. in color.
Размер: 160 x 242 x 24
Читательская аудитория: Professional & vocational
Основная тема: Statistics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This is the first book of two volumes covering the basics of statistical methods and analysis. Significant topics include concepts of research and data analysis, descriptive statistics, probability and distributions, correlation and regression, and statistical inference. The book includes useful examples and exercises as well as relevant case studies for proper implementation of the discussed tools. This book will be a valuable text for undergraduate students of statistics, management, economics, and psychology, wanting to gain basic understanding of statistics and the usage of its various concepts.
Дополнительное описание: 1. Concepts in Research and Data Analysis.- 2. Descriptive Statistics.- 3. Probability and Distributions.- 4. Correlation and Regression.- 5. Statistical Inference.


The Elements of Statistical Learning

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 69870.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Introduction to statistical learning

Автор: James, Gareth Witten, Daniela Hastie, Trevor Tibsh
Название: Introduction to statistical learning
ISBN: 1071614177 ISBN-13(EAN): 9781071614174
Издательство: Springer
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Цена: 55890.00 T
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Описание: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more.

Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers.

An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

This Second Edition features new chapters on deep learning, survival analysis, and multiple testing, as well as expanded treatments of naive Bayes, generalized linear models, Bayesian additive regression trees, and matrix completion. R code has been updated throughout to ensure compatibility.


Computer Age Statistical Inference, Student Edition

Автор: Bradley Efron , Trevor Hastie
Название: Computer Age Statistical Inference, Student Edition
ISBN: 1108823416 ISBN-13(EAN): 9781108823418
Издательство: Cambridge Academ
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Цена: 33790.00 T
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Описание: Computing power has revolutionized the theory and practice of statistical inference. Now in paperback, and fortified with 130 class-tested exercises, this book explains modern statistical thinking from classical theories to state-of-the-art prediction algorithms. Anyone who applies statistical methods to data will value this landmark text.

Statistical Rethinking

Автор: McElreath, Richard
Название: Statistical Rethinking
ISBN: 036713991X ISBN-13(EAN): 9780367139919
Издательство: Taylor&Francis
Рейтинг:
Цена: 83690.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Statistical Rethinking: A Bayesian Course with Examples in R and Stan, Second Edition builds knowledge/confidence in statistical modeling. Pushes readers to perform step-by-step calculations (usually automated.) Unique, computational approach.

Computational and statistical methods for chemical engineering

Автор: Krijnen, Wim P. , Wit, Ernst C.
Название: Computational and statistical methods for chemical engineering
ISBN: 1032013249 ISBN-13(EAN): 9781032013244
Издательство: Taylor&Francis
Рейтинг:
Цена: 76550.00 T
Наличие на складе: Нет в наличии.
Описание: Before the data revolution, most books focused either on mathematical modeling of chemical processes or exploratory chemometrics. This book aims to combine these two approaches and provide aspiring chemical engineers a single, comprehensive account of computational and statistical methods. Each chapter is accompanied by extensive exercises.

Handbook of spatial statistics

Автор: Gelfand, Alan E. Fuentes, Montserrat Guttorp, Pete
Название: Handbook of spatial statistics
ISBN: 1420072870 ISBN-13(EAN): 9781420072877
Издательство: Taylor&Francis
Рейтинг:
Цена: 103610.00 T
Наличие на складе: Есть
Описание: Offers an introduction detailing the evolution of the field of spatial statistics. This title focuses on the three main branches of spatial statistics: continuous spatial variation (point referenced data); discrete spatial variation, including lattice and areal unit data; and, spatial point patterns.

Handbook of Measurement Error Models

Автор: Grace Y. Yi, Aurore Delaigle, Paul Gustafson
Название: Handbook of Measurement Error Models
ISBN: 1138106402 ISBN-13(EAN): 9781138106406
Издательство: Taylor&Francis
Рейтинг:
Цена: 219470.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Reference text for statistical methods and applications for measurement error models for: researchers who work with error-contaminated data, graduate students from statistics and biostatistics, analysts in multiple fields, including medical research, biosciences, nutritional studies, epidemiological studies and environmental studies.

Handbook Of Meta-Analysis

Автор: Christopher H Schmid
Название: Handbook Of Meta-Analysis
ISBN: 1498703984 ISBN-13(EAN): 9781498703987
Издательство: Taylor&Francis
Рейтинг:
Цена: 163330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Meta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences. Its use and importance have exploded over the years as the need for a robust evidence base has become clear in many scientific areas like medicine and health, social sciences, education, psychology, ecology and economics.

Multiple Imputation Analysis For Ob

Автор: He, Yulei
Название: Multiple Imputation Analysis For Ob
ISBN: 1498722067 ISBN-13(EAN): 9781498722063
Издательство: Taylor&Francis
Рейтинг:
Цена: 91860.00 T
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Описание: Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduction to the multiple imputation approach to missing data problems that are often encountered in data analysis.

Elementary Applications of Probability Theory

Автор: Tuckwell, Henry C.
Название: Elementary Applications of Probability Theory
ISBN: 0367449056 ISBN-13(EAN): 9780367449056
Издательство: Taylor&Francis
Рейтинг:
Цена: 63280.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a clear and straightforward introduction to applications of probability theory with examples given in the biological sciences, engineering, and physical, social and statistical sciences. It also introduces the topic of stochastic differential equations and their applications.

Elementary Statistical Quality Control

Автор: Burr, John T.
Название: Elementary Statistical Quality Control
ISBN: 0367578123 ISBN-13(EAN): 9780367578121
Издательство: Taylor&Francis
Рейтинг:
Цена: 50010.00 T
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Elementary Statistical Analysis

Автор: Wilks Samuel Stanley, Wilks S. S.
Название: Elementary Statistical Analysis
ISBN: 069162755X ISBN-13(EAN): 9780691627557
Издательство: Wiley
Рейтинг:
Цена: 50690.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

A beginning text especially designed for those who probably will not go in to statistics professionally but who plan to go into the physical, biological, and social sciences. The material presupposes only one semester of elementary mathematical analysis.

Originally published in 1948.

The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.



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