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Non-Standard Parametric Statistical Inference, Cheng Russell C H


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Автор: Cheng Russell C H
Название:  Non-Standard Parametric Statistical Inference
Перевод названия: Ченг Расселл: Нестандартный параметрический статистический вывод
ISBN: 9780198505044
Издательство: Oxford Academ
Классификация:

ISBN-10: 0198505043
Обложка/Формат: Hardcover
Страницы: 432
Вес: 0.38 кг.
Дата издания: 22.06.2017
Язык: English
Размер: 235 x 173 x 29
Читательская аудитория: Postgraduate, research & scholarly
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: This research monograph gives a unified view of non-standard estimation problems. It provides an overall mathematical framework, but also draws together and studies in detail a large number of practical problems, previously only treated separately, offering solution methods and numerical procedures for each.


Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications

Автор: Chiara Brombin; Luigi Salmaso; Lara Fontanella; Lu
Название: Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications
ISBN: 3319263102 ISBN-13(EAN): 9783319263106
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book considers specific inferential issues arising from the analysis of dynamic shapes with the attempt to solve the problems at hand using probability models and nonparametric tests.

A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935

Автор: Hald Anders
Название: A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935
ISBN: 0387464085 ISBN-13(EAN): 9780387464084
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This is a history of parametric statistical inference, written by one of the most important historians of statistics of the 20th century, Anders Hald. This book can be viewed as a follow-up to his two most recent books, although this current text is much more streamlined and contains new analysis of many ideas and developments. And unlike his other books, which were encyclopedic by nature, this book can be used for a course on the topic, the only prerequisites being a basic course in probability and statistics.The book is divided into five main sections:* Binomial statistical inference;* Statistical inference by inverse probability;* The central limit theorem and linear minimum variance estimation by Laplace and Gauss;* Error theory, skew distributions, correlation, sampling distributions;* The Fisherian Revolution, 1912-1935.Throughout each of the chapters, the author provides lively biographical sketches of many of the main characters, including Laplace, Gauss, Edgeworth, Fisher, and Karl Pearson. He also examines the roles played by DeMoivre, James Bernoulli, and Lagrange, and he provides an accessible exposition of the work of R.A. Fisher.This book will be of interest to statisticians, mathematicians, undergraduate and graduate students, and historians of science.

Parametric Statistical Models and Likelihood

Автор: Ole E Barndorff-Nielsen
Название: Parametric Statistical Models and Likelihood
ISBN: 0387969284 ISBN-13(EAN): 9780387969282
Издательство: Springer
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Цена: 16769.00 р.
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Описание: A few preliminaries 2 1. Likelihood and auxiliary statistics 1. Likelihood 4 1. Moments and cumulants of log likelihood derivatives 10 1. Marginal and conditional likelihood 15 * 1. Combinants, auxiliaries, and the p -model 19 1. Pseudo likelihood, profile likelihood and modified 30 profile likelihood 1.

Examples in Parametric Inference with R

Автор: Ulhas Jayram Dixit
Название: Examples in Parametric Inference with R
ISBN: 9811008884 ISBN-13(EAN): 9789811008887
Издательство: Springer
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Цена: 9362.00 р.
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Описание: The book is divided into eight chapters: Chapter 1 provides an overview of topics on sufficiency and completeness, while Chapter 2 briefly discusses unbiased estimation. Chapter 6 discusses Bayes, while Chapter 7 studies some more powerful tests.

Computer Age Statistical Inference

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data

Автор: Sutradhar
Название: Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data
ISBN: 3319312588 ISBN-13(EAN): 9783319312583
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This proceedings volume contains eight selected papers thatwere presented in the International Symposium in Statistics (ISS) 2015 OnAdvances in Parametric and Semi-parametric Analysis of Multivariate, TimeSeries, Spatial-temporal, and Familial-longitudinal Data, held in St. John`s,Canada from July 6 to 8, 2015.

Computer Aided Virtual Manufacturing Using Creo Parametric

Автор: Kanife Paul Obiora
Название: Computer Aided Virtual Manufacturing Using Creo Parametric
ISBN: 3319233580 ISBN-13(EAN): 9783319233581
Издательство: Springer
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Цена: 13060.00 р.
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Описание: Computer Aided Virtual Manufacturing Using Creo Parametric

Non-Parametric Statistical Diagnosis

Автор: E. Brodsky; B.S. Darkhovsky
Название: Non-Parametric Statistical Diagnosis
ISBN: 0792363280 ISBN-13(EAN): 9780792363286
Издательство: Springer
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Цена: 15372.00 р.
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Описание: A systematic account of various problems of statistical diagnostics - in other words, the detection of changes in probabilistic characteristics of random processes and fields. Methods of solving such problems are proposed, based upon a unified non-parametric approach.


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