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Density Estimation for Statistics and Data Analysis by B. W. Silverman (auth.) is a mathematics available to read on EtoBox.

What is Density Estimation for Statistics and Data Analysis about?

The recent surge of interest in the more technical aspects ofdensity estimation has brought the subject into public view but has sadly created the impression, in some quarters, that density estimates are onlyoftheoreticalimportance.I have aimed in this book to make the subject accessible to a wider audience of statisticians and others, hoping to encouragebroaderpracticalapplication and more relevant theoretical research. With these objects in mind, I have tried to concentrate on topics of methodological interest. Specialists in the fieldwill,I am sure, notice omissionsofthe kind that are inevitable in a personal account; I hope in spite of these that they will find the treatment of the subject interesting and stimulating. I wouldliketo thank David Kendall for first kindling myinterest in density estimation. For their useful suggestions and other help I am grateful to several people, including Adrian Baddeley, Christopher Chatfield, David Cox, Rowena Fowler and Anthony Robinson. Colleagues who have helped in various specificwaysare acknowled­ ged in the course of the text. I am also grateful to the University of Washington (Seattle) for the opportunity to present a course of lecture

Who reads Density Estimation for Statistics and Data Analysis?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
B. W. Silverman (auth.)
Publisher
Springer US
Published
1986
Language
EN
ISBN
9781351456159
Category
mathematics
Subjects
Mathematics, Stem
Rating
5 / 5 (3 ratings)
Updated
2026-03-14

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