Inference for Functional Data with Applications, Lajos Horv?th; Piotr Kokoszka
Автор: Durrett, Rick Название: Elementary probability for applications ISBN: 0521867568 ISBN-13(EAN): 9780521867566 Издательство: Cambridge Academ Рейтинг: Цена: 10611.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a perfect one-semester introduction to probability, for students who are familiar with basic calculus. The lively style reflects the author`s philosophy that the best way to learn probability is to see it in action, and he gives over 200 examples from genetics, sports, finance, and current events.
Описание: Complex multivariate testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences. As a result, modern statistics needs permutation testing for complex data with low sample size and many variables, especially in observational studies.
Автор: Elias Ould Sa?d; Idir Ouassou; Mustapha Rachdi Название: Functional Statistics and Applications ISBN: 3319374125 ISBN-13(EAN): 9783319374123 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Preface.- Part I: Functional Statistics.- Attaoui, Laksaci and Ould Saпd: Asymptotic Results for an M-Estimator of the Regression Function for Quasi-Associated Processes.- Badaoui and Rhomari: BlockShrink Wavelet Density Estimator in φ-Mixing Framework.- Benchikh: Approximation of Strictly Stationary Banach-Valued Random Sequence by Fourier Integral.- Girard and Louhichi: On the Strong Consistency of the Kernel Estimator of Extreme Conditional Quantiles.- Naceri, Laksaci and Rachdi: Exact Quadratic Error of the Local Linear Regression Operator Estimator for Functional Covariates.- Ouassou: Estimation of a Loss Function for Spherically Symmetric Distribution with Constraints on the Norm.- Part II: Applications (Queuing Theory, Signal Analysis, Epidemiology).- Bareche and Aпssani: Impact of Nonparametric Density Estimation on the Approximation of the G/G/1 Queue by the M/G/1 One.- Boualem, Cherfaoui, Djellab and Aпssani: Stochastic Analysis of an M/G/1 Retrial Queue with FCFS.- Demongeot, Hamie, Hansen and Rachdi: Dynalets: A New Tool for Biological Signal Processing.- Demongeot, Ghassani, Hazgui and Rachdi: Demography in Epidemics Modelling: The Copula Approach.- Index.
Автор: Elias Ould Sa?d; Idir Ouassou; Mustapha Rachdi Название: Functional Statistics and Applications ISBN: 3319224751 ISBN-13(EAN): 9783319224756 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Preface.- Part I: Functional Statistics.- Attaoui, Laksaci and Ould Saпd: Asymptotic Results for an M-Estimator of the Regression Function for Quasi-Associated Processes.- Badaoui and Rhomari: BlockShrink Wavelet Density Estimator in φ-Mixing Framework.- Benchikh: Approximation of Strictly Stationary Banach-Valued Random Sequence by Fourier Integral.- Girard and Louhichi: On the Strong Consistency of the Kernel Estimator of Extreme Conditional Quantiles.- Naceri, Laksaci and Rachdi: Exact Quadratic Error of the Local Linear Regression Operator Estimator for Functional Covariates.- Ouassou: Estimation of a Loss Function for Spherically Symmetric Distribution with Constraints on the Norm.- Part II: Applications (Queuing Theory, Signal Analysis, Epidemiology).- Bareche and Aпssani: Impact of Nonparametric Density Estimation on the Approximation of the G/G/1 Queue by the M/G/1 One.- Boualem, Cherfaoui, Djellab and Aпssani: Stochastic Analysis of an M/G/1 Retrial Queue with FCFS.- Demongeot, Hamie, Hansen and Rachdi: Dynalets: A New Tool for Biological Signal Processing.- Demongeot, Ghassani, Hazgui and Rachdi: Demography in Epidemics Modelling: The Copula Approach.- Index.
Описание: Serving as a text for a two semester sequence on probability and statistical inference complex Models for Probability and Statistical Inference: Theory and Applications features exercises throughout the book and selected answers (not solutions). Each section is followed by a selection of problems, from simple to more complex.
Описание: But we know precious little about human reasoning processes, learning mechanisms and the like, and in particular about reasoning with limited, imprecise knowledge. In a sense, intelligent systems are machines which use the most general form of human knowledge together with human reasoning capability to reach decisions.
Описание: This book considers specific inferential issues arising from the analysis of dynamic shapes with the attempt to solve the problems at hand using probability models and nonparametric tests.
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
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.
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