Statistical Thinking PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Statistical Thinking PDF full book. Access full book title Statistical Thinking by Roger W. Hoerl. Download full books in PDF and EPUB format.
Author: Roger W. Hoerl
Publisher: John Wiley & Sons
ISBN: 1118236858
Category : Business & Economics
Languages : en
Pages : 544
Get Book Here
Book Description
How statistical thinking and methodology can help you make crucial business decisions Straightforward and insightful, Statistical Thinking: Improving Business Performance, Second Edition, prepares you for business leadership by developing your capacity to apply statistical thinking to improve business processes. Unique and compelling, this book shows you how to derive actionable conclusions from data analysis, solve real problems, and improve real processes. Here, you'll discover how to implement statistical thinking and methodology in your work to improve business performance. Explores why statistical thinking is necessary and helpful Provides case studies that illustrate how to integrate several statistical tools into the decision-making process Facilitates and encourages an experiential learning environment to enable you to apply material to actual problems With an in-depth discussion of JMP® software, the new edition of this important book focuses on skills to improve business processes, including collecting data appropriate for a specified purpose, recognizing limitations in existing data, and understanding the limitations of statistical analyses.
Author: Roger W. Hoerl
Publisher: John Wiley & Sons
ISBN: 1118236858
Category : Business & Economics
Languages : en
Pages : 544
Get Book Here
Book Description
How statistical thinking and methodology can help you make crucial business decisions Straightforward and insightful, Statistical Thinking: Improving Business Performance, Second Edition, prepares you for business leadership by developing your capacity to apply statistical thinking to improve business processes. Unique and compelling, this book shows you how to derive actionable conclusions from data analysis, solve real problems, and improve real processes. Here, you'll discover how to implement statistical thinking and methodology in your work to improve business performance. Explores why statistical thinking is necessary and helpful Provides case studies that illustrate how to integrate several statistical tools into the decision-making process Facilitates and encourages an experiential learning environment to enable you to apply material to actual problems With an in-depth discussion of JMP® software, the new edition of this important book focuses on skills to improve business processes, including collecting data appropriate for a specified purpose, recognizing limitations in existing data, and understanding the limitations of statistical analyses.
Author: Galen C. Britz
Publisher:
ISBN: 9780873894678
Category : Anvendt statistik
Languages : en
Pages : 0
Get Book Here
Book Description
This volume presents a clear and practical explanation of statistical thinking without the typical equations and formulas. It aims to bridge the gap from concept to application by providing step-by-step guidance on how to get started on problems.
Author:
Publisher:
ISBN:
Category : Industrial management
Languages : en
Pages : 171
Get Book Here
Book Description
Author: Roger Hoerl
Publisher: Wiley
ISBN: 9781118207246
Category : Business & Economics
Languages : en
Pages : 0
Get Book Here
Book Description
Succeed with statistical thinking Roger Hoerl and Ronald D. Snee's Statistical Thinking: Improving Business Performance prepares you for business leadership by developing your capacity to apply statistical thinking to improve business processes. Unique and compelling, this book shows the reader how to derive actionable conclusions from data analysis, solve real problems, and improve real processes. The authors clearly illustrate how to implement statistical thinking and methodology in your work to improve business performance. Highlights This book begins with a discussion of why statistical thinking is necessary and helpful, and then provides case studies that illustrate how to integrate several statistical tools into the decision-making process. The authors facilitate and encourage an experiential learning environment so that the reader may develop competency by applying the material to actual problems. Students have the opportunity to work in teams on case studies in each chapter in addition to the course project. Because easy-to-use data analysis software is so widely used and available, the book emphasizes conceptual understanding over formulas and calculations. Formal statistical methods are, in most cases, illustrated with Microsoft® Excel, MINITAB, and JMP®.
Author: Galen C. Britz
Publisher:
ISBN: 9788122427967
Category :
Languages : en
Pages : 171
Get Book Here
Book Description
Author: b;emerling galen (dw et al)
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Yu-Kang Tu
Publisher: CRC Press
ISBN: 1420099922
Category : Mathematics
Languages : en
Pages : 231
Get Book Here
Book Description
While biomedical researchers may be able to follow instructions in the manuals accompanying the statistical software packages, they do not always have sufficient knowledge to choose the appropriate statistical methods and correctly interpret their results. Statistical Thinking in Epidemiology examines common methodological and statistical problems
Author: Frank E. Harrell
Publisher: Springer Science & Business Media
ISBN: 147573462X
Category : Mathematics
Languages : en
Pages : 583
Get Book Here
Book Description
Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".
Author: Roger Wesley Hoerl
Publisher:
ISBN: 9781119202721
Category : Commercial statistics
Languages : en
Pages : 511
Get Book Here
Book Description
"How statistical thinking and methodology can help you make crucial business decisions. Straightforward and insightful, Statistical Thinking: Improving Business Performance, Second Edition, prepares you for business leadership by developing your capacity to apply statistical thinking to improve business processes. Unique and compelling, this book shows you how to derive actionable conclusions from data analysis, solve real problems, and improve real processes. Here, you'll discover how to implement statistical thinking and methodology in your work to improve business performance. Explores why statistical thinking is necessary and helpful. Provides case studies that illustrate how to integrate several statistical tools into the decision-making process. Facilitates and encourages an experiential learning environment to enable you to apply material to actual problems. With an in-depth discussion of JMP software, the new edition of this important book focuses on skills to improve business processes, including collecting data appropriate for a specified purpose, recognizing limitations in existing data, and understanding the limitations of statistical analyses"--
Author: Michael A. Proschan
Publisher: CRC Press
ISBN: 1351673106
Category : Mathematics
Languages : en
Pages : 276
Get Book Here
Book Description
Statistical Thinking in Clinical Trials combines a relatively small number of key statistical principles and several instructive clinical trials to gently guide the reader through the statistical thinking needed in clinical trials. Randomization is the cornerstone of clinical trials and randomization-based inference is the cornerstone of this book. Read this book to learn the elegance and simplicity of re-randomization tests as the basis for statistical inference (the analyze as you randomize principle) and see how re-randomization tests can save a trial that required an unplanned, mid-course design change. Other principles enable the reader to quickly and confidently check calculations without relying on computer programs. The `EZ’ principle says that a single sample size formula can be applied to a multitude of statistical tests. The `O minus E except after V’ principle provides a simple estimator of the log odds ratio that is ideally suited for stratified analysis with a binary outcome. The same principle can be used to estimate the log hazard ratio and facilitate stratified analysis in a survival setting. Learn these and other simple techniques that will make you an invaluable clinical trial statistician.
