Continuous multivariate distributions / Samuel Kotz, N. Balakrishnan, Norman L. Johnson
Tipo de material: TextoSeries Wiley series in probability and mathematical statistics. Applied probability and statistics sectionDetalles de publicación: New York [etc.] : Wiley, cop. 2000 Edición: 2nd ed.Descripción: v. ; 23 cmISBN: 0471183873Tema(s): Distribución (Teoría de Probabilidades) | Análisis MultivarianteTipo de ítem | Biblioteca de origen | Signatura | Info Vol | URL | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems |
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Fuera de préstamo | 02. BIBLIOTECA CAMPUS PUERTO REAL | Dpto. Estadística - 519.2/KOT/con (Navegar estantería(Abre debajo)) | Vol. 1 | Texto completo | No para préstamo (Uso restringido) | 3721426264 | ||
Fuera de préstamo | 02. BIBLIOTECA CAMPUS PUERTO REAL | 519.2/KOT/con (Navegar estantería(Abre debajo)) | Vol. 1 | Texto completo | No para préstamo (Uso restringido) | 3743146094 | ||
Monografías | 02. BIBLIOTECA CAMPUS PUERTO REAL | 519.2/KOT/con (Navegar estantería(Abre debajo)) | Vol. 1 | Texto completo | Prestado | 31/01/2025 | 3743081144 |
Ed. rev. de: Continuous multivariate distributions / Norman L. Johnson y Samuel Kotz, 1972
Vol. 1. Models and applications
Continuous Multivariate Distributions, Volume 1, Second Edition provides a remarkably comprehensive, self-contained resource for this critical statistical area. It covers all significant advances that have occurred in the field over the past quarter century in the theory, methodology, inferential procedures, computational and simulational aspects, and applications of continuous multivariate distributions. In-depth coverage includes MV systems of distributions, MV normal, MV exponential, MV extreme value, MV beta, MV gamma, MV logistic, MV Liouville, and MV Pareto distributions, as well as MV natural exponential families, which have grown immensely since the 1970s. Each distribution is presented in its own chapter along with descriptions of real-world applications gleaned from the current literature on continuous multivariate distributions and their applications.
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