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There are two approaches to undergraduate and graduate courses in linear statistical models and experimental design in applied statistics. One is a two-term sequence focusing on regression followed by ANOVA/Experimental design. Applied Linear Statistical Models serves that market. It is offered in business, economics, statistics, industrial engineering, public health, medicine, and psychology departments in four-year colleges and universities, and graduate schools. Applied Linear Statistical Models is the leading text in the market. It is noted for its quality and clarity, and its authorship is first-rate. The approach used in the text is an applied one, with an emphasis on understanding of concepts and exposition by means of examples. Sufficient theoretical foundations are provided so that applications of regression analysis can be carried out comfortably. The fourth edition has been updated to keep it current with important new developments in regression analysis.
Achat du livre
Applied Linear Statistical Models, John Neter, Michael H. Kutner
- Langue
- Année de publication
- 1996
- product-detail.submit-box.info.binding
- (rigide),
- État du livre
- Bon
- Prix
- 15,99 €
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- Titre
- Applied Linear Statistical Models
- Langue
- Anglais
- Auteurs
- John Neter, Michael H. Kutner
- Éditeur
- McGraw-Hill/Irwin
- Publié
- 1996
- Format
- rigide
- Pages
- 1408
- ISBN10
- 0256117365
- ISBN13
- 9780256117363
- Séries
- Mots clés
- Manuels et guides, Science, Mathématiques
- Description
- There are two approaches to undergraduate and graduate courses in linear statistical models and experimental design in applied statistics. One is a two-term sequence focusing on regression followed by ANOVA/Experimental design. Applied Linear Statistical Models serves that market. It is offered in business, economics, statistics, industrial engineering, public health, medicine, and psychology departments in four-year colleges and universities, and graduate schools. Applied Linear Statistical Models is the leading text in the market. It is noted for its quality and clarity, and its authorship is first-rate. The approach used in the text is an applied one, with an emphasis on understanding of concepts and exposition by means of examples. Sufficient theoretical foundations are provided so that applications of regression analysis can be carried out comfortably. The fourth edition has been updated to keep it current with important new developments in regression analysis.