Introduction to applied statistics : a modelling approach / J.K. Lindsey
Tipo de material: TextoDetalles de publicación: Oxford : Oxford University Press, 2005 Edición: 2nd ed.Descripción: XIV, 321 p. : graf., il. ; 24 cmISBN: 0-19-852894-9Tema(s): Estadística matemáticaResumen: This text is aimed at students in medicine, biology, and the social sciences, as well as those planning to specialise in applied statistics. It covers the basics of the design and analysis of surveys and experiments and provides an understanding of the basic principles of modelling and inference. Practical advice is provided on how to design a study, collect data, record observations accurately, detect errors, construct appropriate models, and interpret the results. The text contains many illustrative examples and exercises relating statistical principles to research.Resumen: Índice: 1 Basic concepts. 2 Categorical data. 3 Inference. 4 Probability distributions. 5 Normal regression and ANOVA. 6 Dependent responses. 7 Where to now?. A Tables. Bibliography. Author index. Subject index.Tipo de ítem | Biblioteca de origen | Signatura | URL | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems |
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Monografías | 02. BIBLIOTECA CAMPUS PUERTO REAL | 519.2/LIN/int (Navegar estantería(Abre debajo)) | Texto completo | Prestado | 22/01/2015 | 374155109X |
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Bibliografía: p. [309]-311
This text is aimed at students in medicine, biology, and the social sciences, as well as those planning to specialise in applied statistics. It covers the basics of the design and analysis of surveys and experiments and provides an understanding of the basic principles of modelling and inference. Practical advice is provided on how to design a study, collect data, record observations accurately, detect errors, construct appropriate models, and interpret the results. The text contains many illustrative examples and exercises relating statistical principles to research.
Índice: 1 Basic concepts. 2 Categorical data. 3 Inference. 4 Probability distributions. 5 Normal regression and ANOVA. 6 Dependent responses. 7 Where to now?. A Tables. Bibliography. Author index. Subject index.
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