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Statistics Manual: With Examples Taken from Ordnance Development - Couverture rigide

Crow, Edwin L; Davis, Frances A; Maxfield, Margaret W

 
9781258821661: Statistics Manual: With Examples Taken from Ordnance Development

Synopsis

The Statistics Manual: With Examples Taken From Ordnance Development is a comprehensive guidebook written by Edwin L. Crow. The book offers a detailed introduction to the principles and techniques of statistical analysis, with a particular focus on their application in the field of ordnance development.The manual is divided into several chapters, each of which covers a specific aspect of statistical analysis. Topics include probability theory, hypothesis testing, regression analysis, and analysis of variance. The book also includes numerous examples and case studies taken from real-world ordnance development scenarios, providing readers with practical insights into how statistical methods can be applied in this context.Throughout the book, Crow emphasizes the importance of rigorous statistical analysis in the development of effective ordnance systems. He provides clear explanations of complex statistical concepts and techniques, making the book accessible to readers with a range of backgrounds and levels of statistical knowledge.Overall, the Statistics Manual: With Examples Taken From Ordnance Development is an essential resource for anyone involved in the development of ordnance systems, as well as for students and professionals in the fields of statistics, engineering, and related disciplines.Foreword By William B. McLean.This scarce antiquarian book is a facsimile reprint of the old original and may contain some imperfections such as library marks and notations. Because we believe this work is culturally important, we have made it available as part of our commitment for protecting, preserving, and promoting the world's literature in affordable, high quality, modern editions, that are true to their original work.

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Présentation de l'éditeur

This text provides a thorough collection of classical and modern methods of making statistical inferences. A basic knowledge of statistics is assumed by the authors in their discussion of sign tests, linear multiple, and nonlinear regression, correlation, reliability, quality control fiducial limits, Chi-Square runs, confidence intervals for predicted values and more. Includes 32 tables and charts.

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