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Probability and Statistical Inference (Statistics: A Series of Textbooks and Monographs) - Tapa blanda

Libro 78 de 88: Statistics: A Series of Textbooks and Monographs

Mukhopadhyay, Nitis

 
9780367659493: Probability and Statistical Inference (Statistics: A Series of Textbooks and Monographs)
Tapa blanda
ISBN 10: 0367659492 ISBN 13: 9780367659493
Editorial: CRC Press, 2020

Sinopsis

Priced very competitively compared with other textbooks at this level!
This gracefully organized textbook reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer simulations to develop and illustrate concepts.

Beginning with an introduction to the basic ideas and techniques in probability theory and progressing to more rigorous topics, Probability and Statistical Inference

  • studies the Helmert transformation for normal distributions and the waiting time between failures for exponential distributions
  • develops notions of convergence in probability and distribution
  • spotlights the central limit theorem (CLT) for the sample variance
  • introduces sampling distributions and the Cornish-Fisher expansions
  • concentrates on the fundamentals of sufficiency, information, completeness, and ancillarity
  • explains Basu's Theorem as well as location, scale, and location-scale families of distributions
  • covers moment estimators, maximum likelihood estimators (MLE), Rao-Blackwellization, and the Cramér-Rao inequality
  • discusses uniformly minimum variance unbiased estimators (UMVUE) and Lehmann-Scheffé Theorems
  • focuses on the Neyman-Pearson theory of most powerful (MP) and uniformly most powerful (UMP) tests of hypotheses, as well as confidence intervals
  • includes the likelihood ratio (LR) tests for the mean, variance, and correlation coefficient
  • summarizes Bayesian methods
  • describes the monotone likelihood ratio (MLR) property
  • handles variance stabilizing transformations
  • provides a historical context for statistics and statistical discoveries
  • showcases great statisticians through biographical notes

    Employing over 1400 equations to reinforce its subject matter, Probability and Statistical Inference is a groundbreaking text for first-year graduate and upper-level undergraduate courses in probability and statistical inference who have completed a calculus prerequisite, as well as a supplemental text for classes in Advanced Statistical Inference or Decision Theory.

    • "Sinopsis" puede pertenecer a otra edición de este libro.

    Acerca del autor

    Nitis Mukhopadhyay

    "Sobre este título" puede pertenecer a otra edición de este libro.

    Editorial
    CRC Press
    Año de publicación
    2020
    Idioma
    Inglés
    ISBN 10 
    0367659492
    ISBN 13 
    9780367659493
    Encuadernación
    Tapa blanda
    Número de edición
    1
    Número de páginas
    665
    Contacto del fabricante
    Taylor and Francis, GPSR Taylor and Francis
    gpsr@taylorandfrancis.com

    Taylor & Francis Verlag GmbH, Kaufingerstraße 24
    München
    80331
    Alemania