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Modern Statistical Methods for Astronomy: With R Applications
Modern Statistical Methods for Astronomy: With R Applications

Modern astronomical research is beset with a vast range of statistical challenges, ranging from reducing data from megadatasets to characterizing an amazing variety of variable celestial objects or testing astrophysical theory. Linking astronomy to the world of modern statistics, this volume is a unique resource, introducing astronomers to...

Data Analysis Using Regression and Multilevel/Hierarchical Models
Data Analysis Using Regression and Multilevel/Hierarchical Models

Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using...

Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica® Support
Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica® Support

Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book...

Functional Programming: A PragPub Anthology: Exploring Clojure, Elixir, Haskell, Scala, and Swift
Functional Programming: A PragPub Anthology: Exploring Clojure, Elixir, Haskell, Scala, and Swift

Explore functional programming and discover new ways of thinking about code. You know you need to master functional programming, but learning one functional language is only the start. In this book, through articles drawn from PragPub magazine and articles written specifically for this book, you'll explore functional...

Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science)
Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science)

Books on regression and the analysis of variance abound-many are introductory, many are theoretical. While most of them do serve a purpose, the fact remains that data analysis cannot be properly learned without actually doing it, and this means using a statistical software package. There are many of these to choose from as well, all with...

Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of James O. Berger
Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of James O. Berger

Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers. This book provides a review of current research challenges and opportunities. While the book can not exhaustively cover all...

Algorithms and Protocols for Wireless, Mobile Ad Hoc Networks (Wiley Series on Parallel and Distributed Computing)
Algorithms and Protocols for Wireless, Mobile Ad Hoc Networks (Wiley Series on Parallel and Distributed Computing)
Learn the fundamental algorithms and protocols for wireless and mobile ad hoc networks

Advances in wireless networking and mobile communication technologies, coupled with the proliferation of portable computers, have led to development efforts for wireless and mobile ad hoc networks. This book focuses on several aspects of wireless ad hoc...

Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis
Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis
Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis reviews methods for kinematic tracking of the human body in video. The review confines itself to the earlier stages of motion, focusing on tracking and motion synthesis. There is an extensive discussion of open issues. The authors identify some puzzling phenomena...
Regression Analysis: Statistical Modeling of a Response Variable
Regression Analysis: Statistical Modeling of a Response Variable
The objective of Regression Analysis: Statistical Modeling of a Response Variable, Second Edition, is to provide tools necessary for using the modeling approach for the intelligent statistical analysis of a response variable. Although there is strong emphasis on regression analysis, there is coverage of other linear models such...
R Statistical Application Development by Example Beginner's Guide
R Statistical Application Development by Example Beginner's Guide

"R Statistical Application Development by Example Beginner’s Guide" explores statistical concepts and the R software, which are well integrated from the word go. This demarcates the separate learning of theory and applications and hence the title begins with “R Statistical …”. Almost every concept has an R...

Flexible Neuro-Fuzzy Systems : Structures, Learning and Performance Evaluation
Flexible Neuro-Fuzzy Systems : Structures, Learning and Performance Evaluation
Over the last decade fuzzy sets and fuzzy logic introduced in 1965 by
Lotfi Zadeh [113] have been used in a wide range of problem domains
including process control, image processing, pattern recognition and
classification, management, economics and decision making. Specific
applications include washing-machine automation,
...
5 Steps to a 5 AP Statistics, 2010-2011 Edition (5 Steps to a 5 on the Advanced Placement Examinations Series)
5 Steps to a 5 AP Statistics, 2010-2011 Edition (5 Steps to a 5 on the Advanced Placement Examinations Series)

A Perfect Plan for the Perfect Score

We want you to succeed on your AP* exam. That's why we've created this 5-step plan to help you study more effectively, use your preparation time wisely, and get your best score. This easy-to-follow guide offers you a complete review of your AP course, strategies to give you the edge on test...

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