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Matrices for Statistics

Matrices for Statistics

9780198507024
470,34 zł
423,31 zł Zniżka 47,03 zł Brutto
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Opis
Multiple regression, linear modelling, and multivariate analysis are among the most useful statistical methods for the elucidation of complicated data, and all of them are most easily explained in matrix terms. Anyone concerned with the analysis of data needs to be familiar with these methods and a knowledge of matrices is essential in order to understand the literature in which they are described. This knowledge must include some advanced topics, but can do without much of thematerial covered by general textbooks of matrix algebra. This book is intended to cover the necessary ground as briefly as possible. Only the simplest of basic mathematics is used, and the book should be accessible to engineers, biologists, and social scientists as well as those with a specificallymathematical background. The text of the first edition has been re-written and revised to take account of recent developments in statistical practice. The more difficult topics have been expanded and the mathematical explanations have been simplified. A new chapter has been included, at readers request, to cover such topics as vectorising, matrix calculus and complex numbers. From the reviews of the first edition ...this should be a valuable handbook for a great variety of statisticalusers. Short Book Reviews of the International Statistics Institute ...a good reference book for the serious student. Journal of the American Statistical Association ...a very worthwhile addition to anyones shelf. Teaching Statistics I recommend it. Technometrics
Szczegóły produktu
OUP Oxford
82970
9780198507024
9780198507024

Opis

Rok wydania
2000
Numer wydania
2
Oprawa
miękka foliowana
Liczba stron
160
Wymiary (mm)
150 x 230
Waga (g)
245
  • Introducing matrices; Determinants; Inverse matrices; Linear dependence and rank; Simultaneous equations and generalized inverses; Linear spaces; Quadratic forms and eigensystems; [chapter title not yet decided]; Other topics;
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