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Statistical Modeling and Analysis for Complex Data Problems, Pierre Duchesne; Bruno R?millard


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Автор: Pierre Duchesne; Bruno R?millard
Название:  Statistical Modeling and Analysis for Complex Data Problems
ISBN: 9781441937513
Издательство: Springer
Классификация:




ISBN-10: 144193751X
Обложка/Формат: Paperback
Страницы: 324
Вес: 0.48 кг.
Дата издания: 29.10.2010
Язык: English
Размер: 234 x 156 x 18
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

Statistical Modeling and Analysis for Complex Data Problems treats some of todays more complex problems and it reflects some of the important research directions in the field. Twenty-nine authors - largely from Montreals GERAD Multi-University Research Center and who work in areas of theoretical statistics, applied statistics, probability theory, and stochastic processes - present survey chapters on various theoretical and applied problems of importance and interest to researchers and students across a number of academic domains.




Statistical Learning for Biomedical Data

Автор: Malley
Название: Statistical Learning for Biomedical Data
ISBN: 0521699096 ISBN-13(EAN): 9780521699099
Издательство: Cambridge Academ
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Цена: 6494.00 р.
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Описание: Biomedical researchers need machine learning techniques to make predictions such as survival/death or response to treatment when data sets are large and complex. This highly motivating introduction to these machines explains underlying principles in nontechnical language, using many examples and figures, and connects these new methods to familiar techniques.

Multivariate Statistical Modeling and Data Analysis

Автор: H. Bozdogan; Arjun K. Gupta
Название: Multivariate Statistical Modeling and Data Analysis
ISBN: 9027725926 ISBN-13(EAN): 9789027725929
Издательство: Springer
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Цена: 20537.00 р.
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Описание: The areas covered included topics in the analysis of repeated measurements, cluster analysis, discriminant analysis, canonical cor- relations, distribution theory and testing, bivariate densi ty estimation, factor analysis, principle component analysis, multidimensional scaling, multivariate linear models, nonparametric regression, etc.

Data Analysis Using Stata, Third Edition

Автор: Kohler
Название: Data Analysis Using Stata, Third Edition
ISBN: 1597181102 ISBN-13(EAN): 9781597181105
Издательство: Taylor&Francis
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Цена: 11176.00 р.
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Описание:

Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks.

The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition includes advanced topics, such as factor-variables notation, average marginal effects, standard errors in complex survey, and multiple imputation in a way, that beginners of both data analysis and Stata can understand.

Using data from a longitudinal study of private households, the authors provide examples from the social sciences that are relatable to researchers from all disciplines. The examples emphasize good statistical practice and reproducible research. Readers are encouraged to download the companion package of datasets to replicate the examples as they work through the book. Each chapter ends with exercises to consolidate acquired skills.

Research design and statistical analysis

Автор: Myers, Jerome L
Название: Research design and statistical analysis
ISBN: 0805864318 ISBN-13(EAN): 9780805864311
Издательство: Taylor&Francis
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Цена: 22202.00 р.
Наличие на складе: Поставка под заказ.

Описание: This interdisciplinary group of scholars-anthropologists, archaeologists, architects, educators, lawyers, heritage administrators, policy analysts, and consultants-make the first attempt to define and assess heritage values on a local, national and global level. Chapters range from the theoretical to policy frameworks to case studies of heritage practice, written by scholars from eight countries.

Spatial Data Configuration in Statistical Analysis of Regional Economic and Related Problems

Автор: Giuseppe Arbia
Название: Spatial Data Configuration in Statistical Analysis of Regional Economic and Related Problems
ISBN: 9401075786 ISBN-13(EAN): 9789401075787
Издательство: Springer
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Цена: 26546.00 р.
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Описание: Figure 1. 4: First order neighbours (a) and second order neighbours (b) of a reference area. a shows the first-order neighbours of a reference area, while Figure 1. While it is clear that the dependence is strongest between immediate neighbouring areas a certain degree of dependence may be present among higher-order neighbours.

Statistical Modeling, Analysis and Management of Fuzzy Data

Автор: Carlo Bertoluzza; Maria A. Gil; Dan A. Ralescu
Название: Statistical Modeling, Analysis and Management of Fuzzy Data
ISBN: 3790825018 ISBN-13(EAN): 9783790825015
Издательство: Springer
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Цена: 23058.00 р.
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Описание: The contributions in this book state the complementary rather than competitive relationship between Probability and Fuzzy Set Theory and allow solutions to real life problems with suitable combinations of both theories.

Multivariate Statistical Modeling and Data Analysis

Автор: H. Bozdogan; Arjun K. Gupta
Название: Multivariate Statistical Modeling and Data Analysis
ISBN: 9401082642 ISBN-13(EAN): 9789401082648
Издательство: Springer
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Цена: 20537.00 р.
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Описание: The areas covered included topics in the analysis of repeated measurements, cluster analysis, discriminant analysis, canonical cor- relations, distribution theory and testing, bivariate densi ty estimation, factor analysis, principle component analysis, multidimensional scaling, multivariate linear models, nonparametric regression, etc.

Complex Survey Data Analysis with SAS

Автор: Lewis
Название: Complex Survey Data Analysis with SAS
ISBN: 1498776779 ISBN-13(EAN): 9781498776776
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Описание: Complex Survey Data Analysis with SAS (R) is an invaluable resource for applied researchers analyzing data generated from a sample design involving any combination of stratification, clustering, unequal weights, or finite population correction factors.

Analysis and Modeling of Complex Data in Behavioral and Social Sciences

Автор: Donatella Vicari; Akinori Okada; Giancarlo Ragozin
Название: Analysis and Modeling of Complex Data in Behavioral and Social Sciences
ISBN: 3319066919 ISBN-13(EAN): 9783319066912
Издательство: Springer
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Цена: 11179.00 р.
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Описание:

Time-frequency Filtering for Seismic Waves Clustering.- Modeling Longitudinal Data by Latent Markov Models with Application to Educational and Psychological Measurement.- Clustering of Stratified Aggregated Data using the Aggregate Association Index: Analysis of New Zealand Voter Turnout (1893 - 1919).- Estimating a Rasch Model via Fuzzy Empirical Probability Functions.- Scale Reliability Evaluation for a-priori Clustered Data.- An Evaluation of Performance of Territorial Services Center (TSC) by a Nonparametric Combination Ranking Method. The IQuEL Italian Project.- A New Index for the Comparison of Different Measurement Scales.- Asymmetries in Organizational Structures.- A Generalized Additive Model for Binary Rare Events Data: an Application to Credit Defaults.- The Meaning of forma in Thomas Aquinas. Hierarchical Clustering from the Index Thomisticus Treebank.- The Estimation of the Parameters in Multi-Criteria Classification Problem: the Case of the Electre Tri Method.- Dynamic Clustering of Financial Assets.- A Comparison of metrics for the Assessment of Relational Similarities in Affiliation Networks.- Influence Diagnostics for Meta-Analysis of Individual Patient Data using Generalized Linear Mixed Models.- Social Networks as Symbolic Data.- Statistical Assessment for Risk Prediction of Endoleak Formation after TEVAR Based on Linear Discriminant Analysis.- Fuzzy c-means for Web Mining: The Italian Tourist Forum Case.- On Joint Dimension Reduction and Clustering of Categorical Data.- A SVM Applied Text Categorization of Academia-Industry Collaborative Research and Development Documents on the Web.- Dynamic Customer Satisfaction and Measure of Trajectories: a Banking Case.- The Analysis of Partnership Networks in Social Planning Processes.- Evaluating the Effect of New Brand by Asymmetric Multidimensional Scaling.- Statistical Characterization of the Virtual Water Trade Network.- A Pre-Specified Blockmodeling to Analyze Structural Dynamics in Innovation Networks.- The RCI as a Measure of Monotonic Dependence.- A Value Added Approach in Upper Secondary Schools of Lombardy by OECD-PISA 2009 Data.- Algorithmic-Type Imputation Techniques with Different Data Structures: Alternative Approaches in Comparison.- Changes in Japanese EFL Learners' Proficiency: An Application of Latent Rank Theory.- Robustness and Stability Analysis of Factor PD-Clustering on Large Social Data Sets.- A Box-plot and Outliers Detection Proposal for Histogram Data: New Tools for Data Stream Analysis.- Assessing Cooperation in Open Systems: an Empirical Test in Healthcare.

Modeling and Inverse Problems in Imaging Analysis

Автор: Kari A. Foster; Bernard Chalmond
Название: Modeling and Inverse Problems in Imaging Analysis
ISBN: 1441930493 ISBN-13(EAN): 9781441930491
Издательство: Springer
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Цена: 11313.00 р.
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Описание: Translated by Kari A. Foster.

An Introduction to Multivariate Statistical Analysis, Third Edition

Автор: T. W. Anderson
Название: An Introduction to Multivariate Statistical Analysis, Third Edition
ISBN: 0471360910 ISBN-13(EAN): 9780471360919
Издательство: Wiley
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Цена: 27712.00 р.
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Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.


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