Books like Introduction to Statistical Quality Control by Douglas C. Montgomery

The Elements of Statistical Learning explains key statistical methods that underlie modern machine learning, data mining, and bioinformatics, covering supervised and unsupervised learning techniques such as classification trees, neural networks, and support vector machines.

The First Six Sigma Primer Written Especially for EmployeesSix Sigma has gained an avid following among executives and managers for its ability to reduce cycle time, eliminate product defects, and dramatically increase customer involvement and satisfaction. But Six Sigma can’t work without widespread employee involvement and commitment. explains, for employees, the core ideas behind Six Sigma, the crucial roles and responsibilities employees have in a Six Sigma initiative, and how Six Sigma can benefit them.This concise introduction to Six Sigma explains what questions to ask when Six Sigma is first introduced in an organization, then answers those questions in straightforward and easy-to-read style. Look to it for real-world descriptions of:The fundamentals and foundations of Six SigmaThe essential roles employees play in Six SigmaThe changes and challenges they are likely to seeCase studies of employees using Six Sigma to identify ­­and correct­­ major problemsMore than a “quality” program, Six Sigma is a business initiative that helps every area of an organization meet the changing needs of its customers, profitably. What Is Six Sigma? will help spread the message of Six Sigma around any organization simply and clearly.

A concise textbook that teaches statistical reasoning tailored for research in the behavioral sciences, covering foundational concepts, inference, and design methods and techniques for analyzing behavioral data.

Applied Statistics is a comprehensive textbook that teaches statistical methods for economics, management, and social science applications, featuring exercises and problem sets for practical learning.

xv, 734 pages : 26 cm