Fitting Linear Relationships: A History of the Calculus of Observations 1750-1900 (Springer Series in Statistics)

Fitting Linear Relationships: A History of the Calculus of Observations 1750-1900 (Spri...

R.W. Farebrother

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Fitting Linear Relationships: A History of the Calculus o...
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Fitting Linear Relationships: A History of the Calculus of Observations 1750-1900 (Springer Series in Statistics)

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Book Details

Author
R.W. Farebrother
Publisher
Springer
Format
Hardcover
Language
English
Category
Probability & Statistics
Condition
New
ISBN-13
9780387985985
ISBN-10
0387985980

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Product description

ISBN: 0387985980

Author: Farebrother, R.W.

Condition: New

This book is intended for students of mathematical statistics who are interested in the early history of their subject. It gives detailed algebraic descriptions of the fitting of linear relationships by the method of least squares (L ) and the related least absolute 2 deviations (L ) and minimax absolute deviations (Loo) procedures. These traditional line J fitting procedures are, of course, also addressed in conventional statistical textbooks, but the discussion of their historical background is usually extremely slight, if not entirely absent. The present book complements the analysis of these procedures given in S.M. Stigler'S excellent work The History of Statistics: The Quantification of Uncertainty before 1900. However, the present book gives a more detailed account of the algebraic structure underlying these traditional fitting procedures. It is anticipated that readers of the present book will obtain a clear understanding of the historical background to these and other commonly used statistical procedures. Further, a careful consideration of the wide variety of distinct approaches to a particular topic, such as the method of least squares, will give the reader valuable insights into the essential nature of the selected topic.

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Fitting Linear Relationships: A History of the Calculus of Observations 1750-1900 (Springer Series in Statistics)

$65.31 USD
 per 

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