Systems Of Frequency Curves
Condition: SECONDHAND
This is a secondhand book. The jacket image is a photograph of the exact copy we have in stock. This image shows the condition of this book. Further condition remarks are below.
Condition remarks:
Book: Good
Jacket: Worn/faded, no tears
Pages: Good
Markings: Previous owner
A rigorous work in mathematical statistics, Systems of Frequency Curves presents a comprehensive treatment of the theory and application of frequency curve systems, with particular focus on the Pearson system and its extensions. The authors detail the mathematical foundations underlying the fitting of statistical distributions to empirical data, instructing readers in the methods used to characterize and classify a wide range of probability distributions. Written with academic precision, the text argues for a systematic approach to curve fitting, illustrating how different families of curves can be selected and applied based on the moments and shape parameters of observed data. Elderton and Johnson draw on decades of statistical scholarship to produce a work that remains an authoritative reference for statisticians, actuaries, and researchers engaged in the analysis of distributional data.
Author: William Palin Elderton And Norman Lloyd Johnson
Format: Hardback
Published: 1969, Cambridge University Press
Genre: Mathematics
Condition remarks:
Book: Good
Jacket: Worn/faded, no tears
Pages: Good
Markings: Previous owner
A rigorous work in mathematical statistics, Systems of Frequency Curves presents a comprehensive treatment of the theory and application of frequency curve systems, with particular focus on the Pearson system and its extensions. The authors detail the mathematical foundations underlying the fitting of statistical distributions to empirical data, instructing readers in the methods used to characterize and classify a wide range of probability distributions. Written with academic precision, the text argues for a systematic approach to curve fitting, illustrating how different families of curves can be selected and applied based on the moments and shape parameters of observed data. Elderton and Johnson draw on decades of statistical scholarship to produce a work that remains an authoritative reference for statisticians, actuaries, and researchers engaged in the analysis of distributional data.