General Principles Of The Method Of Least Squares
With Applications (1915)
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""General Principles of the Method of Least Squares: With Applications"" is a book written by Dana Prescott Bartlett and published in 1915. The book is a comprehensive guide to the method of least squares, a statistical technique used to find the best fit line or curve for a set of data points. The book covers the general principles of the method, including the derivation of the least squares equations, the properties of the fitted line, and the assumptions underlying the method. It also includes practical applications of the method, including its use in linear regression, curve fitting, and t...
""General Principles of the Method of Least Squares: With Applications"" is a book written by Dana Prescott Bartlett and published in 1915. The book is a comprehensive guide to the method of least squares, a statistical technique used to find the best fit line or curve for a set of data points. The book covers the general principles of the method, including the derivation of the least squares equations, the properties of the fitted line, and the assumptions underlying the method. It also includes practical applications of the method, including its use in linear regression, curve fitting, and the analysis of variance. The book is written in a clear and accessible style and includes numerous examples and exercises to help readers understand the concepts and apply them in real-world situations. Overall, ""General Principles of the Method of Least Squares: With Applications"" is an essential resource for anyone interested in statistics, data analysis, or scientific research.""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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