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Multivariate Statistical Meth In Quality, Yang


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Цена: 202470.00T
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Склад Америка: 210 шт.  
При оформлении заказа до: 2025-08-04
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Yang
Название:  Multivariate Statistical Meth In Quality
ISBN: 9780071432085
Издательство: McGraw-Hill
Классификация:

ISBN-10: 0071432086
Обложка/Формат: Hardback
Страницы: 299
Вес: 0.60 кг.
Дата издания: 16.03.2004
Язык: English
Издание: Ed
Иллюстрации: 50 illustrations, unspecified
Размер: 231 x 158 x 28
Читательская аудитория: Professional & vocational
Основная тема: Mechanical Engg Tg
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Поставляется из: Англии
Описание: A concise monograph on the most rigorous multivariate statistical methods -- a crucial tool for quality measurement.

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.

Modern Statistical Methods for Spatial and Multivariate Data

Автор: Norou Diawara
Название: Modern Statistical Methods for Spatial and Multivariate Data
ISBN: 3030114309 ISBN-13(EAN): 9783030114305
Издательство: Springer
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Цена: 79190.00 T
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Описание:

This contributed volume features invited papers on current models and statistical methods for spatial and multivariate data. With a focus on recent advances in statistics, topics include spatio-temporal aspects, classification techniques, the multivariate outcomes with zero and doubly-inflated data, discrete choice modelling, copula distributions, and feasible algorithmic solutions. Special emphasis is placed on applications such as the use of spatial and spatio-temporal models for rainfall in South Carolina and the multivariate sparse areal mixed model for the Census dataset for the state of Iowa. Articles use simulated and aggregated data examples to show the flexibility and wide applications of proposed techniques.
Carefully peer-reviewed and pedagogically presented for a broad readership, this volume is suitable for graduate and postdoctoral students interested in interdisciplinary research. Researchers in applied statistics and sciences will find this book an important resource on the latest developments in the field. In keeping with the STEAM-H series, the editors hope to inspire interdisciplinary understanding and collaboration.

Bayesian Hierarchical Metho

Автор: Congdon P.D.
Название: Bayesian Hierarchical Metho
ISBN: 1498785751 ISBN-13(EAN): 9781498785754
Издательство: Taylor&Francis
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Цена: 117390.00 T
Наличие на складе: Нет в наличии.
Описание: This is the second edition of a book on applied Bayesian modelling using WinBUGS. It has been updated with a new chapter on regression for causal effects, and one on computing options and strategies.

A Primer for the Monte Carlo Method

Автор: Sobol
Название: A Primer for the Monte Carlo Method
ISBN: 1138469556 ISBN-13(EAN): 9781138469556
Издательство: Taylor&Francis
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Цена: 193950.00 T
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Описание: The Monte Carlo method is a numerical method of solving mathematical problems through random sampling. This work demonstrates how practical problems in science, industry, and trade can be solved using this method. It presents various examples of its application, including queueing, quality and reliability estimations and neutron transport.

Statistical Simulation

Автор: Headrick
Название: Statistical Simulation
ISBN: 1138116289 ISBN-13(EAN): 9781138116283
Издательство: Taylor&Francis
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Цена: 71450.00 T
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Описание:

Although power method polynomials based on the standard normal distributions have been used in many different contexts for the past 30 years, it was not until recently that the probability density function (pdf) and cumulative distribution function (cdf) were derived and made available. Focusing on both univariate and multivariate nonnormal data generation, Statistical Simulation: Power Method Polynomials and Other Transformations presents techniques for conducting a Monte Carlo simulation study. It shows how to use power method polynomials for simulating univariate and multivariate nonnormal distributions with specified cumulants and correlation matrices.

The book first explores the methodology underlying the power method, before demonstrating this method through examples of standard normal, logistic, and uniform power method pdfs. It also discusses methods for improving the performance of a simulation based on power method polynomials. The book then develops simulation procedures for systems of linear statistical models, intraclass correlation coefficients, and correlated continuous variates and ranks. Numerical examples and results from Monte Carlo simulations illustrate these procedures. The final chapter describes how the g-and-h and generalized lambda distribution (GLD) transformations are special applications of the more general multivariate nonnormal data generation approach. Throughout the text, the author employs Mathematica(R) in a range of procedures and offers the source code for download online.

Written by a longtime researcher of the power method, this book explains how to simulate nonnormal distributions via easy-to-use power method polynomials. By using the methodology and techniques developed in the text, readers can evaluate different transformations in terms of comparing percentiles, measures of central tendency, goodness-of-fit tests, and more.


Multivariate Kernel Smoothing And I

Автор: Chacon
Название: Multivariate Kernel Smoothing And I
ISBN: 1498763014 ISBN-13(EAN): 9781498763011
Издательство: Taylor&Francis
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Цена: 91860.00 T
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Описание: Kernel smoothing has greatly evolved since its inception to become an essential methodology in the Data Science tool kit for the 21st century. Its widespread adoption is due to its fundamental role for multivariate exploratory data analysis, as well as the crucial role it plays in composite solutions to complex data challenges.

Practical Multivariate Analysis, Si

Автор: Afifi
Название: Practical Multivariate Analysis, Si
ISBN: 1138702226 ISBN-13(EAN): 9781138702226
Издательство: Taylor&Francis
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Цена: 93910.00 T
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Описание: This is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its practical and accessible approach, with excellent examples and good guidance on computing, the book is particularly popular for teaching outside statistics, i.e. in epidemiology, social science, business, etc.

Multivariate Statistical Methods in Physical Anthropology

Автор: G.N. van Vark; W.W. Howells
Название: Multivariate Statistical Methods in Physical Anthropology
ISBN: 9027717346 ISBN-13(EAN): 9789027717344
Издательство: Springer
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Цена: 111760.00 T
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Описание: Invited were mathematical statisticians who were known to have an acquaintance with and interest in anthropological problems, together with anthropologists and human geneticists who consider multivariate methodology essential for their research.

Multivariate Statistical Methods

Автор: Marcoulides, George A.
Название: Multivariate Statistical Methods
ISBN: 080582572X ISBN-13(EAN): 9780805825725
Издательство: Taylor&Francis
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Цена: 37760.00 T
Наличие на складе: Нет в наличии.

Multivariate Statistical Methods

Автор: Marcoulides, George A.
Название: Multivariate Statistical Methods
ISBN: 0805825711 ISBN-13(EAN): 9780805825718
Издательство: Taylor&Francis
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Цена: 91860.00 T
Наличие на складе: Нет в наличии.

Eco-stats - data analysis in ecology

Автор: Warton, David I
Название: Eco-stats - data analysis in ecology
ISBN: 3030884422 ISBN-13(EAN): 9783030884420
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book introduces ecologists to the wonderful world of modern tools for data analysis, especially multivariate analysis. For biologists with relatively little prior knowledge of statistics, it introduces a modern, advanced approach to data analysis in an intuitive and accessible way.

Topological and Statistical Methods for Complex Data

Автор: Janine Bennett; Fabien Vivodtzev; Valerio Pascucci
Название: Topological and Statistical Methods for Complex Data
ISBN: 3662448998 ISBN-13(EAN): 9783662448991
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book contains papers presented at the Workshop on the Analysis of Large-scale, High-Dimensional, and Multi-Variate Data Using Topology and Statistics, held in Le Barp, France, June 2013.


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