Probability and Statistical Inference

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9780824703790: Probability and Statistical Inference
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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.
  • Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

    Contenuti:

    Notions of Probability
    Expectations of Functions of Random Variables
    Multivariate Random Variables
    Transformations and Sampling Distributions
    Notions of Stochastic Convergence
    Sufficiency, Completeness, and Ancillarity
    Point Estimation
    Tests of Hypotheses
    Confidence Interval Estimation
    Bayesian Methods
    Likelihood Ratio and Other Tests
    Large-Sample Inference
    Sample Size Determination: Two-Stage Procedures

    Product Description:

    Book by Mukhopadhyay Nitis

    Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

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    Nitis Mukhopadhyay
    Editore: CRC Press (2000)
    ISBN 10: 0824703790 ISBN 13: 9780824703790
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    Descrizione libro CRC Press, 2000. HRD. Condizione: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Codice articolo GB-9780824703790

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    Nitis Mukhopadhyay
    Editore: Taylor Francis Inc, United States (2000)
    ISBN 10: 0824703790 ISBN 13: 9780824703790
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    Descrizione libro Taylor Francis Inc, United States, 2000. Hardback. Condizione: New. UK ed.. Language: English . Brand New Book. 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 Cramer-Rao inequality * discusses uniformly minimum variance unbiased estimators (UMVUE) and Lehmann-Scheffe 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. Codice articolo AAZ9780824703790

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    Nitis Mukhopadhyay
    Editore: Taylor Francis Inc, United States (2000)
    ISBN 10: 0824703790 ISBN 13: 9780824703790
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    Descrizione libro Taylor Francis Inc, United States, 2000. Hardback. Condizione: New. UK ed.. Language: English . Brand New Book. 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 Cramer-Rao inequality * discusses uniformly minimum variance unbiased estimators (UMVUE) and Lehmann-Scheffe 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. Codice articolo AAZ9780824703790

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    Nitis Mukhopadhyay
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    ISBN 10: 0824703790 ISBN 13: 9780824703790
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    Descrizione libro Taylor and Francis 2000-03-22, New York, 2000. hardback. Condizione: New. Codice articolo 9780824703790

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    Mukhopadhyay, Nitis
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    Descrizione libro Taylor & Francis Inc, 2000. Condizione: New. Presents 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. This book covers various topics typically addressed in a two-semester course in probability and statistical inference. Series: Statistics: A Series of Textbooks and Monographs. Num Pages: 665 pages, illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 160 x 230 x 44. Weight in Grams: 1154. . 2000. 1st Edition. Hardcover. . . . . . Codice articolo V9780824703790

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    Descrizione libro Hardback. Condizione: New. Not Signed; 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 develo. book. Codice articolo ria9780824703790_rkm

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    MUKHOPADHYAY, NITIS.
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    Descrizione libro Taylor and Francis, 2000. HRD. Condizione: New. New Book. Shipped from US within 10 to 14 business days. Established seller since 2000. Codice articolo VT-9780824703790

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    Mukhopadhyay, Nitis
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    Descrizione libro Taylor & Francis Inc. Condizione: New. Presents 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. This book covers various topics typically addressed in a two-semester course in probability and statistical inference. Series: Statistics: A Series of Textbooks and Monographs. Num Pages: 665 pages, illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 160 x 230 x 44. Weight in Grams: 1154. . 2000. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. Codice articolo V9780824703790

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