Store besparelser
Hurtig levering
Gemte
Log ind
0
Kurv
Kurv

Probability and Statistical Inference

Af: Nitis Mukhopadhyay Engelsk Paperback

Probability and Statistical Inference

Af: Nitis Mukhopadhyay Engelsk Paperback
Tjek vores konkurrenters priser
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.
  • Tjek vores konkurrenters priser
    Normalpris
    kr 516
    Fragt: 39 kr
    6 - 8 hverdage
    20 kr
    Pakkegebyr
    God 4 anmeldelser på
    Tjek vores konkurrenters priser
    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.
  • Produktdetaljer
    Sprog: Engelsk
    Sider: 665
    ISBN-13: 9780367659493
    Indbinding: Paperback
    Udgave:
    ISBN-10: 0367659492
    Udg. Dato: 30 sep 2020
    Længde: 43mm
    Bredde: 202mm
    Højde: 229mm
    Forlag: Taylor & Francis Ltd
    Oplagsdato: 30 sep 2020
    Forfatter(e): Nitis Mukhopadhyay
    Forfatter(e) Nitis Mukhopadhyay


    Kategori Bayesiansk statistik


    ISBN-13 9780367659493


    Sprog Engelsk


    Indbinding Paperback


    Sider 665


    Udgave


    Længde 43mm


    Bredde 202mm


    Højde 229mm


    Udg. Dato 30 sep 2020


    Oplagsdato 30 sep 2020


    Forlag Taylor & Francis Ltd

    Vi anbefaler også
    Kategori sammenhænge