Learn IT - Books tags statistics

Forest Analytics with R: An Introduction (Use R!)

Springer, 2010

R is an open-source and free software environment for statistical computing and graphics. R compiles and runs on a wide variety of UNIX platforms (e.g., GNU/Linux and FreeBSD), Windows, and Mac OSX. Since the late 1990s, R has been developed by hundreds of contributors and new capabilities are added each month....

Bayesian Computation with R (Use R)

Springer, 2009

The book is a concise presentation of a wide range of Bayesian inferential problems and the computational methods to solve them. The detailed and thorough presentation style, with complete R code for the examples, makes it a welcome companion to a theoretical text on Bayesian inference.... Smart students of statistics will want to have both R and...

Small Business and the Public Library: Strategies for a Successful Partnership (ALA Editions)

American Library Association, 2011

Aligning with recent news stories on difficult economic times, the authors target libraries endeavoring to assist users entering or already involved in the small business community. Small Business and the Public Library will help you reach out to this group of patrons with

Innovative programming ideas

Constructing Measures: An Item Response Modeling Approach

Lawrence Erlbaum Associates, 2004

Constructing Measures introduces a way to understand the advantages and disadvantages of measurement instruments, how to use such instruments, and how to apply these methods to develop new instruments or adapt old ones. The book is organized around the steps taken while constructing an instrument. It opens with a summary of the...

The Certified Reliability Engineer Handbook

ASQ Quality Press, 2008

Reliability engineers are professionals who understand the principles of performance evaluation and prediction to improve product/systems safety, reliability, and maintainability. This handbook s chapters and sections match the Body of Knowledge (BOK) specified for ASQ s Reliability Engineer certification, which includes design review and control;...

Schaum's Outline of Theory and Problems of Probability (2nd Edition)

McGraw-Hill, 2000

Schaum's Outline of Probability, Second Edition, focuses on non-calculus probability theory, making it ideal for humanities and science majors who study practical statistics for problem solving. This popular Schaum's study guide provides new material on descriptive statistics, hi-square distribution, and more.

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Python for Data Science For Dummies (For Dummies (Computer/Tech))

For Dummies, 2015

Unleash the power of Python for your data analysis projectswith For Dummies!

Python is the preferred programming language for data scientistsand combines the best features of Matlab, Mathematica, and R intolibraries specific to data analysis and visualization. Pythonfor Data Science For Dummies shows you how to...

UNDERSTANDING STATISTICS

Bookboon, 2021

This is a book on the understanding of statistical concepts. If you have no knowledge, you will receive basic knowledge, without having to worry much about mathematics. And if you already know something about statistical methods, you will get a better understanding of the ideas behind them. All basic concepts are discussed in detail and...

SAS for Data Analysis: Intermediate Statistical Methods (Statistics and Computing)

Springer, 2008

This book is intended for use as the textbook in a second course in applied statistics that covers topics in multiple regression and analysis of variance at an intermediate level. Generally, students enrolled in such courses are primarily graduate majors or advanced undergraduate students from a variety of disciplines. These students typically have...

Data Warehousing OLAP and Data Mining

New Age Publications, 2008

This book is intended for Information Technology (IT) professionals who have been hearing about or have been tasked to evaluate, learn or implement data warehousing technologies. This book also aims at providing fundamental techniques of KDD and Data Mining as well as issues in practical use of Mining tools.

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Bayesian Models for Categorical Data (Wiley Series in Probability and Statistics)

John Wiley & Sons, 2005

The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible to students and researchers alike. Emphasizing the use of statistical...

Analyzing the Analyzers: An Introspective Survey of Data Scientists and Their Work

O'Reilly, 2013

There has been intense excitement in recent years around activities labeled "data science," "big data," and "analytics." However, the lack of clarity around these terms and, particularly, around the skill sets and capabilities of their practitioners has led to inefficient communication between "data...

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