BIBLIOTECA MANUEL BELGRANO - Facultad de Ciencias Económicas - UNC

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Probability theory / R. G. Laha, V. K. Rohatgi.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Wiley series in probability and mathematical statisticsDetalles de publicación: New York, N.Y. : J. Wiley, c1979Descripción: xiii, 557pISBN:
  • 047103262X
Tema(s): Clasificación CDD:
  • 519.2
Recursos en línea:
Contenidos:
1. Basic concepts of probability theory -- 2. The laws of large numbers -- 3. Distribution and characteristic functions -- 4. Some further results on characteristic functions -- 5. The central limit problem -- 6. Dependence -- 7. Random variables taking values in a normed linear space.
Resumen: "This comprehensive presentation of the basic concepts of probability theory examines both classical and modern methods. The treatment emphasizes the relationship between probability theory and mathematical analysis, and it stresses applications to statistics as well as to analysis. Topics include: The laws of large numbers Distribution and characteristic functions The central limit problem Dependence Random variables taking values in a normed linear space Each chapter features worked examples in addition to problems, and bibliographical references to supplementary reading material enhance the text. For advanced undergraduates and graduate students in mathematics".
Existencias
Tipo de ítem Biblioteca actual Signatura topográfica Estado Fecha de vencimiento Código de barras
Libro Libro Biblioteca Manuel Belgrano 519.2 L 37206 (Navegar estantería(Abre debajo)) Disponible 37206

Bibliografía: p. 545-548.

1. Basic concepts of probability theory -- 2. The laws of large numbers -- 3. Distribution and characteristic functions --
4. Some further results on characteristic functions -- 5. The central limit problem -- 6. Dependence -- 7. Random variables taking values in a normed linear space.

"This comprehensive presentation of the basic concepts of probability theory examines both classical and modern methods. The treatment emphasizes the relationship between probability theory and mathematical analysis, and it stresses applications to statistics as well as to analysis. Topics include: The laws of large numbers Distribution and characteristic functions The central limit problem Dependence Random variables taking values in a normed linear space Each chapter features worked examples in addition to problems, and bibliographical references to supplementary reading material enhance the text. For advanced undergraduates and graduate students in mathematics".

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