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Resampling Methods

This thoroughly revised and expanded third edition is a practical guide to data analysis using t;...

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Mathematical Statistics with Resampling and R

This thoroughly updated second edition combines the latest software applications with the benefits o;...

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U Statistics Mm Estimators and Resampling

This is an introductory text on a broad class of statistical estimators that are minimizers of conve;...

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Advances in Sampling Theory and Techniques

This book provides both the most updated formulations of the sampling theory and practical algorithm;...

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An Introduction to Bootstrap Methods with Applications to R

A comprehensive introduction to bootstrap methods in the R programming environment Bootstrap methods;...

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Monte Carlo Simulation and Resampling Methods for Social Science

Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo sim;...

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Recent Advances and Trends in Nonparametric Statistics

The advent of high-speed, affordable computers in the last two decades has given a new boost to the ;...

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Resampling Methods for Dependent Data

By giving a detailed account of bootstrap methods and their properties for dependent data, this book;...

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Practitioner'S Guide To Resampling For Data Analysis, Data M

Distribution-free resampling methods-permutation tests, decision trees, and the bootstrap-are used t;...

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A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling

Distribution-free resampling methods-permutation tests, decision trees, and the bootstrap-are used t;...

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Financial Data Resampling for Machine Learning Based Trading

This book presents a system that combines the expertise of four algorithms, namely Gradient Tree Boo;...

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Analytical Methods in Statistics

This volume collects authoritative contributions on analytical methods and mathematical statistics. ;...

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Image Registration

This book presents a thorough and detailed guide to image registration, outlining the principles and;...

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Introductory Statistics and Analytics

Concise, thoroughly class-tested primer that features basic statistical concepts in the concepts in ;...

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Empirical Methods for Artificial Intelligence

This book presents empirical methods for studying complex computer programs: exploratory tools to he;...

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Analyzing the Large Number of Variables in Biomedical and Satellite Imagery

This book grew out of an online interactive offered through statcourse.com, and it soon became appar;...

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Statistics is Easy!

Statistics is the activity of inferring results about a population given a sample. Historically, sta;...

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Statistics Is Easy!

Statistics is the activity of inferring results about a population given a sample. Historically, sta;...

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Non-Standard Parametric Statistical Inference

This book discusses the fitting of parametric statistical models to data samples. Emphasis is placed;...

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Nonparametric Function Estimation, Modeling, and Simulation

Topics emphasized include nonparametric density estimation as an exploratory device plus the deeper ;...

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Introduction To Statistics Through Resam

A highly accessible alternative approach to basic statistics Praise for the First Edition: Certain;...

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Partially Linear Models

In the last ten years, there has been increasing interest and activity in the general area of partia;...

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Vibration-Based Condition Monitoring of Wind Turbines

This book describes in detail different types of vibration signals and the signal processing methods;...

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Statistical Thinking for Managers

Focusing on the analysis of data using modern statistical and spreadsheet software, Hildebrand and O;...

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Hands-On Machine Learning with R

Hands-on Machine Learning with R provides a practical and applied approach to learning and developin;...

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Nonlinear Multivariate Analysis

Presents a system of multivariate analysis techniques in cases where statistical data may be of diff;...

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Advances in Business and Management Forecasting

Volume 13, Advances in Business and Management Forecasting, is a blind refereed serial publication. ;...

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