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Discrete data analysis with r, Friendly, Michael Meyer, David


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Цена: 14086.00р.
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При оформлении заказа до: 2025-07-28
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Автор: Friendly, Michael Meyer, David
Название:  Discrete data analysis with r
ISBN: 9781498725835
Издательство: Taylor&Francis
Классификация:
ISBN-10: 149872583X
Обложка/Формат: Hardback
Страницы: 564
Вес: 1.33 кг.
Дата издания: 17.12.2015
Серия: Chapman & hall/crc texts in statistical science
Язык: English
Иллюстрации: 51 tables, black and white; 257 illustrations, color
Размер: 263 x 188 x 33
Подзаголовок: Visualization and modeling techniques for categorical and count data
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Поставляется из: Европейский союз


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: 10480.00 р.
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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.

Dicing with death

Автор: Senn, Stephen
Название: Dicing with death
ISBN: 1108999867 ISBN-13(EAN): 9781108999861
Издательство: Cambridge Academ
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Цена: 3166.00 р.
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Описание: From measles to malaria, from clinical trials to COVID and from life tables to the law, the second edition of Dicing with Death explains how the vital decisions we have to make both individually and collectively can be informed and improved by good data, statistical reasoning and analysis.

Excel data analysis

Автор: Guerrero, Hector
Название: Excel data analysis
ISBN: 3030012786 ISBN-13(EAN): 9783030012786
Издательство: Springer
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Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book offers a comprehensive and readable introduction to modern business and data analytics.

Scientific Data Analysis

Автор: Currell Graham
Название: Scientific Data Analysis
ISBN: 0198712545 ISBN-13(EAN): 9780198712541
Издательство: Oxford Academ
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Цена: 7602.00 р.
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Описание: Drawing on the author`s extensive experience of supporting students undertaking projects, Scientific Data Analysis is a guide for any science undergraduate or beginning graduate who needs to analyse their own data, and wants a clear, step-by-step description of how to carry out their analysis in a robust, error-free way.

Mathematical Gnostics Advanced Data Analysis for Research and Engineering Practice

Автор: Pavel Kovanic
Название: Mathematical Gnostics Advanced Data Analysis for Research and Engineering Practice
ISBN: 1138339237 ISBN-13(EAN): 9781138339231
Издательство: Taylor&Francis
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Цена: 22968.00 р.
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Описание: The focus of the book will be concentrated to the step-by-step explanation of applications of the algorithms to real data which are met in daily practice by all data analysts, with particulr focus on chemcial engineering. The book will lead readers through all relevant tasks on one-dimensional, two-dimensional, and multi-dimensional data analysis.

Stochastic Analysis in Discrete and Continuous Settings

Автор: Nicolas Privault
Название: Stochastic Analysis in Discrete and Continuous Settings
ISBN: 3642023797 ISBN-13(EAN): 9783642023798
Издательство: Springer
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Цена: 6981.00 р.
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Описание: Suitable for graduate students and researchers having already received a basic training in probability, this work aims to give a unified presentation of stochastic analysis for continuous and discontinuous stochastic processes, in both discrete and continuous time.

Discrete Choice Analysis with R

Автор: P?ez
Название: Discrete Choice Analysis with R
ISBN: 3031207181 ISBN-13(EAN): 9783031207181
Издательство: Springer
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Цена: 11878.00 р.
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Описание: Readers begin with simple data operations and the underlying theory of choice analysis and conclude by working with sophisticated models including latent class logit models, mixed logit models, and ordinal logit models with taste heterogeneity.

Applied Survey Data Analysis, Second Edition

Автор: Heeringa
Название: Applied Survey Data Analysis, Second Edition
ISBN: 1498761607 ISBN-13(EAN): 9781498761604
Издательство: Taylor&Francis
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Цена: 13779.00 р.
Наличие на складе: Поставка под заказ.

Описание: This book provides an overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on practical approaches to descriptive analysis and regression modeling from the first edition, this second edition expands the topics covered and presents more examples the analysis of survey data.

Noise Sensitivity of Boolean Functions and Percolation

Автор: Garban
Название: Noise Sensitivity of Boolean Functions and Percolation
ISBN: 1107432553 ISBN-13(EAN): 9781107432550
Издательство: Cambridge Academ
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Цена: 6019.00 р.
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Описание: This account of the new and exciting area of noise sensitivity of Boolean functions - in particular applied to critical percolation - is designed for graduate students and researchers in probability theory, discrete mathematics, and theoretical computer science. It assumes a basic background in probability theory and integration theory. Each chapter ends with exercises.

Handbook of Statistical Analysis and Data Mining Applications, 2 ed.

Автор: Robert Nisbet , Gary Miner, Ken Yale
Название: Handbook of Statistical Analysis and Data Mining Applications, 2 ed.
ISBN: 0124166326 ISBN-13(EAN): 9780124166325
Издательство: Elsevier Science
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Цена: 13304.00 р.
Наличие на складе: Поставка под заказ.

Описание:

Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application.

This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas--from science and engineering, to medicine, academia and commerce.

  • Includes input by practitioners for practitioners
  • Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models
  • Contains practical advice from successful real-world implementations
  • Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions
  • Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications
Exact Analysis of Discrete Data

Автор: Hirji, Karim F.
Название: Exact Analysis of Discrete Data
ISBN: 1584880708 ISBN-13(EAN): 9781584880707
Издательство: Taylor&Francis
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Цена: 24499.00 р.
Наличие на складе: Поставка под заказ.

Discrepancy Theory

Автор: Dmitriy Bilyk, Josef Dick, Friedrich Pillichshammer
Название: Discrepancy Theory
ISBN: 3110651157 ISBN-13(EAN): 9783110651157
Издательство: Walter de Gruyter
Цена: 20074.00 р.
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Описание:

The series is devoted to the publication of high-level monographs, surveys and proceedings which cover the whole spectrum of computational and applied mathematics.

The books of this series are addressed to both specialists and advanced students.

Interested authors may submit book proposals to the Managing Editor or to any member of the Editorial Board.

Managing Editor
Ulrich Langer, RICAM, Linz, Austria; Johannes Kepler University Linz, Austria

Editorial Board
Hansjorg Albrecher, University of Lausanne, Switzerland
Ronald H. W. Hoppe, University of Houston, USA
Karl Kunisch, RICAM, Linz, Austria; University of Graz, Austria
Harald Niederreiter, RICAM, Linz, Austria
Otmar Scherzer, RICAM, Linz, Austria; University of Vienna, Austria
Christian Schmeiser, University of Vienna, Austria


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