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Goodness-of-Fit-Techniques, Ralph B. D`Agostino


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Автор: Ralph B. D`Agostino
Название:  Goodness-of-Fit-Techniques
Перевод названия: Ральф Б. Д`агостино: Методы анализа по важным свойствам подобранных функций
ISBN: 9780367580346
Издательство: Taylor&Francis
Классификация:
ISBN-10: 0367580349
Обложка/Формат: Paperback
Страницы: 576
Вес: 1.08 кг.
Дата издания: 30.06.2020
Серия: Statistics: a series of textbooks and monographs
Язык: English
Размер: 229 x 152
Читательская аудитория: Tertiary education (us: college)
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: Conveniently grouping methods by techniques, such as chi-squared and empirical distributionfunction, and also collecting methods of testing for specific famous distributions, this useful reference is the first comprehensive review of the extensive literature on the subject.


Cambridge international as & a level mathematics: probability & statistics 2 practice book

Название: Cambridge international as & a level mathematics: probability & statistics 2 practice book
ISBN: 110844492X ISBN-13(EAN): 9781108444927
Издательство: Cambridge Education
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Цена: 3213.00 р.
Наличие на складе: Есть (1 шт.)
Описание: This series has been developed specifically for the Cambridge International AS & A Level Mathematics (9709) syllabus to be examined from 2020.

Quality Engineering Techniques

Автор: Rostamkhani, Ramin , Karbasian, Mahdi
Название: Quality Engineering Techniques
ISBN: 0367903814 ISBN-13(EAN): 9780367903817
Издательство: Taylor&Francis
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Цена: 25265.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides instructions to enhance productivity and sustainability by using Quality Engineering Techniques (QET) in statistical and non-statistical projects. It presents an integrated format for better management of traditional processes in industrial factories.

Stochastic Computing: Techniques and Applications

Автор: Warren J. Gross; Vincent C. Gaudet
Название: Stochastic Computing: Techniques and Applications
ISBN: 3030037290 ISBN-13(EAN): 9783030037291
Издательство: Springer
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Цена: 11878.00 р.
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Описание: This book covers the history and recent developments of stochastic computing. Stochastic computing (SC) was first introduced in the 1960s for logic circuit design, but its origin can be traced back to von Neumann's work on probabilistic logic. In SC, real numbers are encoded by random binary bit streams, and information is carried on the statistics of the binary streams. SC offers advantages such as hardware simplicity and fault tolerance. Its promise in data processing has been shown in applications including neural computation, decoding of error-correcting codes, image processing, spectral transforms and reliability analysis.There are three main parts to this book. The first part, comprising Chapters 1 and 2, provides a history of the technical developments in stochastic computing and a tutorial overview of the field for both novice and seasoned stochastic computing researchers. In the second part, comprising Chapters 3 to 8, we review both well-established and emerging design approaches for stochastic computing systems, with a focus on accuracy, correlation, sequence generation, and synthesis. The last part, comprising Chapters 9 and 10, provides insights into applications in machine learning and error-control coding.

An Introduction to Multilevel Modeling Techniques

Автор: Heck, Ronald , Thomas, Scott L.
Название: An Introduction to Multilevel Modeling Techniques
ISBN: 0367182440 ISBN-13(EAN): 9780367182441
Издательство: Taylor&Francis
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Цена: 8879.00 р.
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Описание: This text offers a comprehensive treatment of multilevel models for univariate and multivariate outcomes.

Probabilistic Graphical Models: Principles and Techniques

Автор: Koller Daphne, Friedman Nir
Название: Probabilistic Graphical Models: Principles and Techniques
ISBN: 0262013193 ISBN-13(EAN): 9780262013192
Издательство: MIT Press
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Цена: 21161.00 р.
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Описание:

A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.

Most tasks require a person or an automated system to reason -- to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality.

Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.

Tensor Calculus and Applications: Simplified Tools and Techniques

Автор: Bhaben Chandra Kalita
Название: Tensor Calculus and Applications: Simplified Tools and Techniques
ISBN: 0367138069 ISBN-13(EAN): 9780367138066
Издательство: Taylor&Francis
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Цена: 23734.00 р.
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Описание: The aim of this book is to make the subject easier to understand. This book provides clear concepts, tools, and techniques to master the subject of Tensors, and can be used in many fields of research. Special applications are discussed in the book, in order to remove any confusion, and for absolute understanding of the subject.

Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner

Автор: Galit Shmueli, Peter C. Bruce, Nitin R. Patel
Название: Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
ISBN: 1118729277 ISBN-13(EAN): 9781118729274
Издательство: Wiley
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Цена: 17741.00 р.
Наличие на складе: Поставка под заказ.

Описание: Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner(R), Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies.

Strategies and Techniques for Quality and Flexibility

Автор: Miryam Barad
Название: Strategies and Techniques for Quality and Flexibility
ISBN: 3319683993 ISBN-13(EAN): 9783319683997
Издательство: Springer
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Цена: 7685.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book presents strategic perspectives on quality and flexibility, as well as quantitative tools for assessing their implementation in a range of systems.

Goodness-of-Fit Statistics for Discrete Multivariate Data

Автор: Timothy R.C. Read; Noel A.C. Cressie
Название: Goodness-of-Fit Statistics for Discrete Multivariate Data
ISBN: 038796682X ISBN-13(EAN): 9780387966823
Издательство: Springer
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Цена: 15506.00 р.
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Описание: The statistical analysis of discrete multivariate data has received a great deal of attention in the statistics literature over the past two decades.

Cambridge international as & a level mathematics: probability & statistics 1 practice book

Название: Cambridge international as & a level mathematics: probability & statistics 1 practice book
ISBN: 1108444903 ISBN-13(EAN): 9781108444903
Издательство: Cambridge Education
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Цена: 3213.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This series has been developed specifically for the Cambridge International AS & A Level Mathematics (9709) syllabus to be examined from 2020.


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