Nitis Mukhopadhyay, Basil M. De Silva

Sequential Methods and Their Applications (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Interactively Run Simulations and Experiment with Real or Simulated Data to Make Sequential Analysis Come AliveTaking an accessible, nonmathematical approach to this field, Sequential Methods and Their Applications illustrates the efficiency of sequential methodologies when dealing with contemporary statistical challenges in many areas.The book fir

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Erscheinungstermin: 28. Oktober 2008
• Englisch
• ISBN-13: 9781040201152
• Artikelnr.: 73339589

Autorenporträt

Mukhopadhyay, Nitis; de Silva, Basil M.

Inhaltsangabe

Preface. Objectives, Coverage, and Hopes. Why Sequential? Sequential
Probability Ratio Test. Sequential Tests for Composite Hypotheses.
Sequential Nonparametric Tests. Estimation of the Mean of a Normal
Population. Location Estimation: Negative Exponential Distribution. Point
Estimation of the Mean of an Exponential Population. Fixed-Width Intervals
from MLEs. Distribution-Free Methods in Estimation. Multivariate Normal
Mean Vector Estimation. Estimation in a Linear Model. Estimating the
Difference of Two Normal Means. Selecting the Best Normal Population.
Sequential Bayesian Estimation. Selected Applications. Appendix.
References. Index.

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Preface. Objectives, Coverage, and Hopes. Why Sequential? Sequential Probability Ratio Test. Sequential Tests for Composite Hypotheses. Sequential Nonparametric Tests. Estimation of the Mean of a Normal Population. Location Estimation: Negative Exponential Distribution. Point Estimation of the Mean of an Exponential Population. Fixed-Width Intervals from MLEs. Distribution-Free Methods in Estimation. Multivariate Normal Mean Vector Estimation. Estimation in a Linear Model. Estimating the Difference of Two Normal Means. Selecting the Best Normal Population. Sequential Bayesian Estimation. Selected Applications. Appendix. References. Index.