9780198507024 - Matrices for Statistics de Healy, M. J. R. (30 resultados)

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Paperback. Condición: New. 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 the material 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 specifically mathematical 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 statistical users.' 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 anyone's shelf. Teaching Statistics 'I recommend it.' Technometrics.

Condición: New. This textbook provides an introduction to the basis of matrix theory. It has been re-written and revised to take account of developments in statistical practice. The more difficult topics have been expanded and the mathematical explanations have been simplified. Vectorising, matrix calculus and complex numbers are also covered. Num Pages: 160 pages, 1 line figure, numerous mathematical examples. BIC Classification: PBT; PBW. Category: (P) Professional & Vocational. Dimension: 234 x 157 x 9. Weight in Grams: 246. . 2001. 2nd Edition. paperback. . . . .

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Condición: New. This textbook provides an introduction to the basis of matrix theory. It has been re-written and revised to take account of developments in statistical practice. The more difficult topics have been expanded and the mathematical explanations have been simplified. Vectorising, matrix calculus and complex numbers are also covered. Num Pages: 160 pages, 1 line figure, numerous mathematical examples. BIC Classification: PBT; PBW. Category: (P) Professional & Vocational. Dimension: 234 x 157 x 9. Weight in Grams: 246. . 2001. 2nd Edition. paperback. . . . . Books ship from the US and Ireland.

Paperback. Condición: New. 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 the material 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 specifically mathematical 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 statistical users.' 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 anyone's shelf. Teaching Statistics 'I recommend it.' Technometrics.

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Paperback. Condición: new. Paperback. 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 dowithout much of the material 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, andthe book should be accessible to engineers, biologists, and social scientists as well as those with a specifically mathematical 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 statistical users.' Short Book Reviews of the International Statistics Institute '.a goodreference book for the serious student.' Journal of the American Statistical Association '.a very worthwhile addition to anyone's shelf. Teaching Statistics 'I recommend it.' Technometrics This textbook provides a concise introduction to the basis of matrix theory. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: new. Paperback. 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 dowithout much of the material 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, andthe book should be accessible to engineers, biologists, and social scientists as well as those with a specifically mathematical 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 statistical users.' Short Book Reviews of the International Statistics Institute '.a goodreference book for the serious student.' Journal of the American Statistical Association '.a very worthwhile addition to anyone's shelf. Teaching Statistics 'I recommend it.' Technometrics This textbook provides a concise introduction to the basis of matrix theory. 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This textbook provides an introduction to the basis of matrix theory. It has been re-written and revised to take account of developments in statistical practice. The more difficult topics have been expanded and the mathematical explanations have been simpli.

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Paperback. Condición: new. Paperback. 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 dowithout much of the material 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, andthe book should be accessible to engineers, biologists, and social scientists as well as those with a specifically mathematical 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 statistical users.' Short Book Reviews of the International Statistics Institute '.a goodreference book for the serious student.' Journal of the American Statistical Association '.a very worthwhile addition to anyone's shelf. Teaching Statistics 'I recommend it.' Technometrics This textbook provides a concise introduction to the basis of matrix theory. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Taschenbuch. Condición: Neu. Matrices for Statistics | Michael Healy (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2000 | OUP Oxford | EAN 9780198507024 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This textbook provides a concise introduction to the basis of matrix theory. 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.