Binomial Distribution Handbook For Scientists And Engineers


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Binomial Distribution Handbook for Scientists and Engineers


Binomial Distribution Handbook for Scientists and Engineers

Author: E. von Collani

language: en

Publisher: Springer Science & Business Media

Release Date: 2001-06-01


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This book deals with estimating and testing the probability of an event. It aims at providing practitioners with refined and easy to use techniques as well as initiating a new field of research in theoretical statistics. Practical, comprehensive tables for data analysis of the experimental state of investigations are included. Statisticians and practitioners will find this book an essential reference.

Binomial Distribution Handbook for Scientists and Engineers


Binomial Distribution Handbook for Scientists and Engineers

Author: Elart Von Collani

language: en

Publisher: Birkhauser

Release Date: 2001-01-01


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Binomial Distribution Handbook for Scientists and Engineers


Binomial Distribution Handbook for Scientists and Engineers

Author: E. von Collani

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-12-06


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This book deals with estimating and testing the probability of an event. The purpose of the book is twofold: It aims at providing practitioners with refined and easy to use techniques as well as initiating a new field of research in theoretical statistics. The book contains completely new interval and point estimators that are superior to the traditional ones. This is especially true in the case of small and medium sized samples, which are characteristic for many fields of application. The estimators are tailored to a given situation and take into account the generally one knows the size of the probability to be measured. Thus, according the size of the probability different estimators should be used, similar to the case of measuring length, where the measurement method depends heavily on the size of the length to be measured. The approach yields more precise estimators and more powerful tests. It may also be applied to other estimation problems.