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Resampling Methods

This thoroughly revised and expanded third edition is a practical guide to data analysis using the bootstrap, cross-validation, and;

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

. A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling explains how to use the bootstrap to estimate the;

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Mathematical Statistics with Resampling and R

. This book has been classroom-tested to ensure an accessible presentation, uses the powerful and flexible computer language R for data analysis;

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

. A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling explains how to use the bootstrap to estimate the;

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Financial Data Resampling for Machine Learning Based Trading

Forest and Support Vector Classifier to trade with several cryptocurrencies. A new method for resampling financial data is presented as;

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Strategist's Analysis Cycle: Handbook

; getting the right data to win in the market is. It moves on to data analysis: turning data into actionable intelligence is what drives and;

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Essential Statistics for Non-STEM Data Analysts

Reinforce your understanding of data science and data analysis from a statistical perspective to extract meaningful insights from your data;

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Aquifer Hydraulics

tests. With an accompanying computer disk packed with data analysis programs, Aquifer Hydraulics is an essential tool for practicing and;

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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 provides illustrative numerical;

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Strategist's Analysis Cycle Toolbook

of tools and methods for analysing data and contributing to the success of the company. The main aim of data analysis is turning data into;

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XploRe - Learning Guide

guide is intended for beginners in computer-aided statistical data analysis. The prerequisites for XploRe - the statistical computing;

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Methods For Analysing Quantitative Data

In Analysing Quantitative Data, Charles A. Scherbaum and Kristen M. Shockley guide the reader through Understanding Quantitative Data;

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Guide to Analysis of DNA Microarray Data

Written for biologists and medical researchers who don't have any special training in data analysis and statistics, Guide to Analysis;

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Book Of R The

The Book of R is a comprehensive, beginner-friendly guide to R, the world s most popular programming language for statistical analysis;

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Nonparametric Function Estimation, Modeling, and Simulation

analysis points, multi-dimensional data analysis, and analysis of remote sensing data, cancer progression, chaos theory, epidemiological modeling;

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Profitability Analysis with SAP S4HANA

Whether you're running account-based or costing-based CO-PA, this is your one-stop shop for profitability analysis with SAP S/4HANA! Get;

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Analysing Quantitative Data for Business and Management Students

In Analysing Quantitative Data, Charles A. Scherbaum and Kristen M. Shockley guide the reader through Understanding Quantitative Data;

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Handbook for Applied Modeling

Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data;

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Statistical Models and Methods for Lifetime Data

Praise for the First Edition An indispensable addition to any serious collection on lifetime data analysis and ...a valuable contribution;

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Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner

This tutorial for data analysts new to SAS Enterprise Guide and SAS Enterprise Miner provides valuable experience using powerful;

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Computational Statistics in the Earth Sciences

ocean sciences, this book is ideal for those who want to learn how to analyse data using MATLAB in a statistically-rigorous manner.;

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Predictive Analysis with SAP: The Comprehensive Guide

Predictive analysis for the business user Understand SAP s predictive analysis tools PAL, R Integration, and SAP Predictive Analysis and;

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Handbook for Applied Modeling

Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data;

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A Biologist's Guide to Analysis of DNA Microarray Data

Biologist's Guide to Analysis of DNA Microarray Data meets the needs of research professionals, students, and trainees alike for a compact yet;

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Making Sense of Data I

is a must-read book for learning practical statistics and data analysis...Computing Reviews.com A proven go-to guide for data analysis, Making;

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Vibration-Based Condition Monitoring of Wind Turbines

in highly varying operational conditions. The core of the book is devoted to cutting-edge methods used to validate and process vibration data;

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Statistical Computing Environments for Social Research

illustrate important ideas and techniques in modern data analysis and statistical computing, ideas and techniques that readers will be able to apply;

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