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Droit des services publics, Lachaume J.


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Автор: Lachaume J.   (Дж. Лахум)
Название:  Droit des services publics
Перевод названия: Дж. Лахум: Право публичного предоставления услуг
ISBN: 9782711029440
Издательство: Amazon Internet
Классификация: ISBN-10: 2711029441
Вес: 0.00 кг.
Дата издания: 2018
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Поставляется из: Англии

Exploratory Social Network Analysis with Pajek: Revised and Expanded Edition for Updated Software

Автор: Wouter De Nooy, Andrej Mrvar, Vladimir Batagelj
Название: Exploratory Social Network Analysis with Pajek: Revised and Expanded Edition for Updated Software
ISBN: 1108474144 ISBN-13(EAN): 9781108474146
Издательство: Cambridge Academ
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Цена: 121440.00 T
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Описание: The textbook on analysis and visualization of social networks that integrates theory, applications, and professional software for performing network analysis. Pajek software and datasets for all examples are freely available, so the reader can learn network analysis by doing it. Each chapter offers case studies for practicing network analysis.

Exploratory Social Network Analysis with Pajek. Revised and Expanded Edition for Updated Software

Автор: Wouter De Nooy, Andrej Mrvar, Vladimir Batagelj
Название: Exploratory Social Network Analysis with Pajek. Revised and Expanded Edition for Updated Software
ISBN: 1108462278 ISBN-13(EAN): 9781108462273
Издательство: Cambridge Academ
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Цена: 43290.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The textbook on analysis and visualization of social networks that integrates theory, applications, and professional software for performing network analysis. Pajek software and datasets for all examples are freely available, so the reader can learn network analysis by doing it. Each chapter offers case studies for practicing network analysis.

Exploratory Data Analysis with R

Автор: Roger Peng
Название: Exploratory Data Analysis with R
ISBN: 1365060063 ISBN-13(EAN): 9781365060069
Издательство: Неизвестно
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Цена: 26050.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data science has taken the world by storm. Every field of study and area of business has been affected as people increasingly realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be tra

Implementation of Speech Recognition Software for Text Processing: An Exploratory Analysis

Автор: Abell Sean P.
Название: Implementation of Speech Recognition Software for Text Processing: An Exploratory Analysis
ISBN: 1288285531 ISBN-13(EAN): 9781288285532
Издательство: Неизвестно
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Цена: 71050.00 T
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Graphical Exploratory Data Analysis

Автор: S. H. C. DuToit; A. G. W. Steyn; R. H. Stumpf
Название: Graphical Exploratory Data Analysis
ISBN: 1461293715 ISBN-13(EAN): 9781461293712
Издательство: Springer
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Цена: 74490.00 T
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Exploratory factor analysis

Автор: Fabrigar, Leandre R. Wegener, Duane T.
Название: Exploratory factor analysis
ISBN: 0199734178 ISBN-13(EAN): 9780199734177
Издательство: Oxford Academ
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Цена: 50150.00 T
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Описание: This book provides a non-mathematical introduction to the theory and application of Exploratory Factor Analysis. Among the issues discussed are the use of confirmatory versus exploratory factor analysis, the use of principal components analysis versus common factor analysis, and procedures for determining the appropriate number of factors.

Exploratory Factor Analysis: Applications in School Improvement Research

Автор: Diana Mindrila
Название: Exploratory Factor Analysis: Applications in School Improvement Research
ISBN: 1536124869 ISBN-13(EAN): 9781536124866
Издательство: Nova Science
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Цена: 196410.00 T
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Описание: In education, researchers often work with complex data sets that include a multitude of variables. One question that often arises in such contexts is whether the structure of associations that underlies the data is accounted for by a latent construct. Exploratory factor analysis is a multivariate correlational procedure that helps researchers overcome such challenges. It helps reduce large data sets into main components or identify distinct constructs that account for the pattern of correlations among observed variables. These unobservable constructs are referred to as common factors, latent variables, or internal attributes, and they exert linear influences on more than one observed variable. Although exploratory factor analysis is widely used, many applied educational researchers and practitioners are not yet familiar with this procedure and are intimidated by the technical terminology. This book provides a conceptual description of this method and includes a collection of applied research studies that illustrates the application of exploratory factor analysis in school improvement research. The first chapter provides a theoretical overview of exploratory factor analysis. It explains the purposes for which this procedure can be used, the related terminology, the distinction between key concepts, the steps that must be taken, and the criteria for making the decisions. This information can serve as a starting point for researchers who need a brief, conceptual introduction to this topic. The following chapters present a series of research studies in which exploratory factor analysis was employed either by itself or in conjunction with other statistical procedures. The studies presented in this book address a variety of research problems in the field of school improvement. They specify how the factor analytic procedure was applied, and explain the theoretical contributions and the practical applications of the factor analytic results. In most studies, results from factor analysis were used for subsequent statistical procedures, thus helping researchers address more complex research questions and enriching the results.

Non-Standard Parameter Adaptation for Exploratory Data Analysis

Автор: Wesam Ashour Barbakh; Ying Wu; Colin Fyfe
Название: Non-Standard Parameter Adaptation for Exploratory Data Analysis
ISBN: 3642040047 ISBN-13(EAN): 9783642040047
Издательство: Springer
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Цена: 139750.00 T
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Описание: A review of standard algorithms provides the basis for more complex data mining techniques in this overview of exploratory data analysis. Recent reinforcement learning research is presented, as well as novel methods of parameter adaptation in machine learning.

Exploratory Data Analysis in Business and Economics

Автор: Cleff Thomas
Название: Exploratory Data Analysis in Business and Economics
ISBN: 3319015168 ISBN-13(EAN): 9783319015163
Издательство: Springer
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Цена: 65210.00 T
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Описание: Exploratory Data Analysis in Business and Economics


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