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Sequential Estimation Of The Mean Of A Normal Population


Sequential Estimation Of The Mean Of A Normal Population
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Sequential Estimation Of The Mean Of A Normal Population


Sequential Estimation Of The Mean Of A Normal Population
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Author : Herbert Robbins
language : en
Publisher:
Release Date : 1958

Sequential Estimation Of The Mean Of A Normal Population written by Herbert Robbins and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1958 with Estimation theory categories.




Sequential Estimation Of The Mean Of A Normal Population


Sequential Estimation Of The Mean Of A Normal Population
DOWNLOAD
Author : Herbert Robbins
language : en
Publisher:
Release Date : 1958

Sequential Estimation Of The Mean Of A Normal Population written by Herbert Robbins and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1958 with Estimation theory categories.




On The Sequential Estimation Of The Mean Of A Normal Population With Unknown Variance


On The Sequential Estimation Of The Mean Of A Normal Population With Unknown Variance
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Author : Norman Starr
language : en
Publisher:
Release Date : 1965

On The Sequential Estimation Of The Mean Of A Normal Population With Unknown Variance written by Norman Starr and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1965 with Estimation theory categories.




Sequential Estimation Of The Common Mean Of Two Normal Populations


Sequential Estimation Of The Common Mean Of Two Normal Populations
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Author : Ashim Kumar Mallik
language : en
Publisher:
Release Date : 1971

Sequential Estimation Of The Common Mean Of Two Normal Populations written by Ashim Kumar Mallik and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with Sequential analysis categories.




The Performance Of A Sequential Procedure For The Fixed Width Interval Estimation Of The Mean Of A Normal Population With Unknown Variance


The Performance Of A Sequential Procedure For The Fixed Width Interval Estimation Of The Mean Of A Normal Population With Unknown Variance
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Author : Norman Starr
language : en
Publisher:
Release Date : 1964

The Performance Of A Sequential Procedure For The Fixed Width Interval Estimation Of The Mean Of A Normal Population With Unknown Variance written by Norman Starr and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1964 with categories.




Sequential Estimation Of The Largest Normal Mean When The Variance Is Known


Sequential Estimation Of The Largest Normal Mean When The Variance Is Known
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Author : Saul Blumenthal
language : en
Publisher:
Release Date : 1973

Sequential Estimation Of The Largest Normal Mean When The Variance Is Known written by Saul Blumenthal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with Estimation theory categories.


Given n observations from each of k normal populations with common known variance (sigma squared), the value of the largest of the k means (whose values are not known) is to be estimated using the largest value of the k sample means. It is desired to design a sampling rule which guarantees that the Mean Squared Error (M.S.E.) of the estimate does not exceed a given bound regardless of the configuration of values of the k means. (Author Modified Abstract).



On Sequential Estimation Of The Largest Normal Mean When The Variance Is Known


On Sequential Estimation Of The Largest Normal Mean When The Variance Is Known
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Author : Raymond J. Carroll
language : en
Publisher:
Release Date : 1977

On Sequential Estimation Of The Largest Normal Mean When The Variance Is Known written by Raymond J. Carroll and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with categories.


A class of stopping times is defined for estimating the largest of k normal means when the variance is known. The class can achieve significant reduction in sample size compared to a related procedure because it employs an elimination feature which halts sampling on populations furnishing no information about the largest mean. The asymptotic behavior of the stopping times and the mean square consistency of the estimators are studied.



Sequential Estimation Of Mean Of A Normal Distribution


Sequential Estimation Of Mean Of A Normal Distribution
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Author : Ashim Mallik
language : en
Publisher:
Release Date : 1974

Sequential Estimation Of Mean Of A Normal Distribution written by Ashim Mallik and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1974 with categories.




Sequential Estimation


Sequential Estimation
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Author : Malay Ghosh
language : en
Publisher: Wiley-Interscience
Release Date : 1997-03-14

Sequential Estimation written by Malay Ghosh and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-03-14 with Mathematics categories.


This book devoted to sequential estimation presents the advances of the past fifteen years including those in the areas of three--stage accelerated sequential sampling procedures. It integrates the diversities in sequential estimation in a logical, treating both classical and modern techniques and including parametric and nonparametric methods.



Sequential Estimation Of The Largest Normal Mean


Sequential Estimation Of The Largest Normal Mean
DOWNLOAD
Author : Saul Blumenthal
language : en
Publisher:
Release Date : 1973

Sequential Estimation Of The Largest Normal Mean written by Saul Blumenthal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with Estimation theory categories.


Given n observations from each of k populations whose distributions differ by a location parameter, the value of the largest parameter is to be estimated using the largest value of the k sample means. It is desired to design a sampling rule which guarantees that the Mean Squared Error (M.S.E.) of the estimate does not exceed a given bound when the distributions have a common but unknown scale parameter. A sequential sampling scheme is devised based on an estimate of the scale parameter and a least favorable configuration of the location parameters. The sample size characteristics of the sampling plan studied under mild restrictions on the distributions involved. The M.S.E. of the resulting estimator is studied under the additional assumption of normality. A brief discussion is given of an alternate sequential plan which uses information in the sample regarding the configuration of the location parameters. (Author).