Nitis Mukhopadhyay, Basil M. De Silva

Sequential Methods and Their Applications

• Gebundenes Buch

Produktbeschreibung

Through this book and its computer programs, readers will better understand the methods of sequential analysis and be able to use them in real-world settings. The book explains concepts, methodologies, implementations, and properties in layman's terms. It also provides essential computing tools so readers can run simulations and perform experiments with real or simulated data. The authors cover basic sampling techniques and inference procedures, address competing sampling methodologies in several statistical problems, and emphasize the relevance and importance of sequential methodologies in clinical trials, integrated pest management, experimental psychology, horticulture, and more.

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Produktdetails

• Verlag: Chapman and Hall/CRC
• Seitenzahl: 512
• Erscheinungstermin: 28. Oktober 2008
• Englisch
• Abmessung: 240mm x 161mm x 32mm
• Gewicht: 928g
• ISBN-13: 9781584881025
• ISBN-10: 158488102X
• Artikelnr.: 25895308

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.