Learn IT - Books tags regression

Quantitative Tourism Research in Asia: Current Status and Future Directions (Perspectives on Asian Tourism)

Springer, 2019

The purpose of this book is twofold. First, this book is an attempt to map the state of quantitative research in Asian tourism and hospitality context and provide a detailed description of the design, implementation, application, and challenges of quantitative methods in tourism in Asia. Second, this book aims to contribute to the...

Alternative Methods of Regression (Wiley Series in Probability and Statistics)

John Wiley & Sons, 1993

Since its discovery almost 200 years ago, least squares has been the most popular method of regression analysis. A statistics book with the word "regression" in its title, without any qualifying adjective such as "robust" or "nonparametric" or "alternative", can be assumed to be about least-squares...

Guidebook to R Graphics Using Microsoft Windows

John Wiley & Sons, 2012

Introduces the graphical capabilities of R to readers new to the software

Due to its flexibility and availability, R has become the computing software of choice for statistical computing and generating graphics across various fields of research. Guidebook to R Graphics Using Microsoft® Windows offers a unique presentation of R,...

Smoothing Spline ANOVA Models (Springer Series in Statistics)

Springer, 2013

Nonparametric function estimation with stochastic data, otherwise known as smoothing, has been studied by several generations of statisticians. Assisted by the ample computing power in today's servers, desktops, and laptops, smoothing methods have been finding their ways into everyday data analysis by practitioners. While scores of...

R For Dummies

For Dummies, 2015

Mastering R has never been easier

Picking up R can be tough, even for seasoned statisticians and data analysts. R For Dummies, 2^nd Edition provides a quick and painless way to master all the R you'll ever need. Requiring no prior programming experience and packed with tons of practical examples,...

Data Mining: Practical Machine Learning Tools and Techniques, Second Edition

Morgan Kaufmann, 2005

This book presents this new discipline in a very accessible form: both as a text to train the next generation of practitioners and researchers, and to inform lifelong learners like myself. Witten and Frank have a passion for simple and elegant solutions. They approach each topic with this mindset, grounding all concepts in concrete examples,...

Predictive Analytics: Microsoft Excel

Que, 2012

Predictive Analytics: Microsoft® Excel

Excel predictive analytics for serious data crunchers!

The movie Moneyball made predictive analytics famous: Now you can apply the same techniques to help your...

Foundations for Analytics with Python

O'Reilly, 2016

If you’re like many of Excel’s 750 million users, you want to do more with your data—like repeating similar analyses over hundreds of files, or combining data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale the processing and analysis of data in...

Interview Questions in Business Analytics

Apress, 2016

Discover relevant questionsâand detailed answersâto help you prepare for job interviews and break into the field of analytics. This book contains more than 200 questions based on consultations with hiring managers and technical professionals already working in analytics. Interview Questions in Business Analytics: How to Ace...

Statistical Analysis: Microsoft Excel 2010

Que, 2011

There was no reason I shouldn’t have already written a book about statistical analysis using Excel. But I didn’t, although I knew I wanted to. Finally, I talked Pearson into letting me write it for them.

Be careful what you ask for. It’s been a struggle, but at last I’ve got it out of my system, and...

Statistics for Six Sigma Green Belts with Minitab and JMP

FT Press, 2006

The only book on the market that provides a simple nonmathematical presentation of the statistics needed by Six Sigma Green Belts. Every concept is explained in plain English with a minimum of mathematical symbols. Includes real-world examples, step by step instructions and sample output for Minitab and JMP software as...

Introduction to Computational Modeling Using C and Open-Source Tools (Chapman & Hall/CRC Computational Science)

CRC Press, 2013

Introduction to Computational Modeling Using C and Open-Source Tools presents the fundamental principles of computational models from a computer science perspective. It explains how to implement these models using the C programming language. The software tools used in the book include the Gnu Scientific Library (GSL), which...

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