An introduction to probability and statistics / Vijay K. Rohatgi, A.K. Md. Ehsanes Saleh
Tipo de material: TextoSeries Wiley Series in Probability and StatisticsDetalles de publicación: New York [etc.] : John Wiley and Sons, cop. 2001 Edición: 2nd ed.Descripción: XIV, 716 p. : il. ; 24cmISBN: 0471348465Tema(s): Probabilities | Mathematical statistics | Estadística matemática | ProbabilidadesResumen: The second edition of a well-received book that was published 24 years ago and continues to sell to this day, An Introduction to Probability and Statistics is now revised to incorporate new information as well as substantial updates of existing material.Resumen: Índice: Probability. Random Variables and Their Probability Distributions.Moments and Generating Functions. Multiple Random Variables. Some Special Distributions. Limit Theorems. Sample Moments and Their Distributions. Parametric Point Estimation. Neyman-Pearson Theory of Testing of Hypotheses. Some Further Results of Hypothesis Testing. Confidence Estimation. General Linear Hypothesis. Nonparametric Statistical Inference. References. Frequently Used Symbols and Abbreviations. Statistical Tables. Answers to Selected Problems. Indexes.Tipo de ítem | Biblioteca de origen | Signatura | URL | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems | Bibliografía recomendada |
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Tít. ed. 1976: Introduction to probability theory and mathematical statistics.
The second edition of a well-received book that was published 24 years ago and continues to sell to this day, An Introduction to Probability and Statistics is now revised to incorporate new information as well as substantial updates of existing material.
Índice: Probability. Random Variables and Their Probability Distributions.Moments and Generating Functions. Multiple Random Variables. Some Special Distributions. Limit Theorems. Sample Moments and Their Distributions. Parametric Point Estimation. Neyman-Pearson Theory of Testing of Hypotheses. Some Further Results of Hypothesis Testing. Confidence Estimation. General Linear Hypothesis. Nonparametric Statistical Inference. References. Frequently Used Symbols and Abbreviations. Statistical Tables. Answers to Selected Problems. Indexes.
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