# Science and Technics / Science / Mathematics / Probability & Statistics

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### An Introduction to Stochastic Modeling, Student Solutions Manual (e-only)

#### by Mark Pinsky

An Introduction to Stochastic Modeling, Student Solutions Manual (e-only)

### Naked Statistics: Stripping the Dread from the Data

#### by Charles Wheelan

“Brilliant, funny . . . the best math teacher you never had.”—San Francisco Chronicle Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist...

### Statistics Hacks: Tips & Tools for Measuring the World and Beating the Odds

#### by Bruce Frey

Want to calculate the probability that an event will happen? Be able to spot fake data? Prove beyond doubt whether one thing causes another? Or learn to be a better gambler? You can do that and much more with...

### Statistics in a Nutshell: A Desktop Quick Reference

#### by Sarah Boslaugh & Paul Andrew, Dr. Watters

Need to learn statistics as part of your job, or want some help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference that's perfect for anyone with no previous...

### Schaum's Outline of Probability and Statistics, 3ed

#### by Murray R Spiegel, John J. Schiller & R. Alu Srinivasan

Confusing Textbooks? Missed Lectures? Not Enough Time?

Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams....

#### by Steven Kemp & Sid Kemp

Say goodbye to dry presentations, grueling formulas, and abstract theories that would put Einstein to sleep -- now there's an easier way to master the disciplines you really need to know.

McGraw-Hill's Demystified...

### Minitab Demystified

#### by Andrew Sleeper

Need to learn Minitab? Problem Solved!

Get started using Minitab right way with help from this hands-on guide. Minitab Demystified walks you through essential Minitab features and shows you how to apply them...

### Statistics for Earth and Environmental Scientists

#### by John Schuenemeyer & Larry Drew

A comprehensive treatment of statistical applications for solving real-world environmental problems

A host of complex problems face today's earth science community, such as evaluating the supply of remaining...

### Latent Class Analysis of Survey Error

#### by Paul P. Biemer

Combining theoretical, methodological, and practical aspects, Latent Class Analysis of Survey Error successfully guides readers through the accurate interpretation of survey results for quality evaluation and...

### Neural-Based Orthogonal Data Fitting: The EXIN Neural Networks

#### by Giansalvo Cirrincione & Maurizio Cirrincione

The presentation of a novel theory in orthogonal regression

The literature about neural-based algorithms is often dedicated to principal component analysis (PCA) and considers minor component analysis (MCA) a...

### Handbook of Nonresponse in Household Surveys

#### by Jelke Bethlehem, Fannie Cobben & Barry Schouten

A comprehensive, one-stop guide to identifying, reducing, and managing nonresponse in household surveys

Nonresponse and its impact on the sample selection mechanism of a survey is a common problem that often...

### Forecasting in Financial and Sports Gambling Markets: Adaptive Drift Modeling

#### by William S. Mallios

A guide to modeling analyses for financial and sports gambling markets, with a focus on major current events

Addressing the highly competitive and risky environments of current-day financial and sports gambling...

### Statistical Distributions

#### by Catherine Forbes, Merran Evans & Nicholas Hastings

A new edition of the trusted guide on commonly used statistical distributions

Fully updated to reflect the latest developments on the topic, Statistical Distributions, Fourth Edition continues to serve as an...

### Cross Section and Experimental Data Analysis Using Eviews

#### by I. Gusti Ngurah Agung

A practical guide to selecting and applying the most appropriate model for analysis of cross section data using EViews.

"This book is a reflection of the vast experience and knowledge of the author. It is a useful...

### Statistics DeMYSTiFieD, 2nd Edition

#### by Stan Gibilisco

MULTIPLY your chances of learning STATISTICS

Trying to understand statistics but feeling a bit uncertain? Here's your solution. Statistics Demystifed, Second Edition helps you master this fundamental topic with...

### Introduction to Probability Models

#### by Sheldon M. Ross

Ross's classic bestseller, Introduction to Probability Models, has been used extensively by professionals and as the primary text for a first undergraduate course in applied probability. It provides an introduction...

### Statistical Methods

#### by Rudolf J. Freund, Donna Mohr & William J. Wilson

Statistical Methods, 3e provides students with a working introduction to statistical methods offering a wide range of applications that emphasize the quantitative skills useful across many academic disciplines....

### Data Analysis for Network Cyber-Security

#### by Niall Adams & Nicholas Heard

There is increasing pressure to protect computer networks against unauthorized intrusion, and some work in this area is concerned with engineering systems that are robust to attack. However, no system can be...

### Hands-On Programming with R: Write Your Own Functions and Simulations

#### by Garrett Grolemund

Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassemble data...

### Cognitive Interviewing Methodology: A Sociological Approach for Survey Question Evaluation

#### by Kristen Miller, Valerie Chepp & Stephanie Willson

AN INTERDISCIPLINARY PERSPECTIVE TO THE EVOLUTION OF THEORY AND METHODOLOGY WITHIN COGNITIVE INTERVIEW PROCESSES

Providing a comprehensive approach to cognitive interviewing in the field of survey methodology,...