The only comprehensive guide to the theory and practice of one oftoday's most important probabilistic techniques
The past 15 years have witnessed many significant advances insequential estimation, especially in the areas of three-stage andnonparametric methodology. Yet, until now, there were no referencesdevoted exclusively to this rapidly growing statisticalfield.
Sequential Estimation is the first, single-source guide to thetheory and practice of both classical and modern sequentialestimation techniques--including parametric and nonparametricmethods. Researchers in sequential analysis will appreciate theunified, logically integrated treatment of the subject, as well ascoverage of important contemporary procedures not covered in moregeneral sequential analysis texts, such as:
* Shrinkage estimation
* Empirical and hierarchical Bayes procedures
* Multistage sampling and accelerated sampling procedures
* Time-sequential estimation
* Sequential estimation in finite population sampling
* Reliability estimation and capture-recapture methodologiesleading to sequential tagging schemes
An indispensable resource for researchers in sequential analysis,Sequential Estimation is an ideal graduate-level text as well.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
MALAY GHOSH, PhD, is a professor in the University of FloridaDepartment of Statistics.
NITIS MUKHOPADHYAY, PhD, is a professor in the University ofConnecticut Department of Statistics.
PRANAB K. SEN, PhD, is a professor in the Department ofBiostatistics and Statistics of the University of North Carolina.
The only comprehensive guide to the theory and practice of one of today's most important probabilistic techniques
The past 15 years have witnessed many significant advances in sequential estimation, especially in the areas of three-stage and nonparametric methodology. Yet, until now, there were no references devoted exclusively to this rapidly growing statistical field.
Sequential Estimation is the first, single-source guide to the theory and practice of both classical and modern sequential estimation techniques—including parametric and nonparametric methods. Researchers in sequential analysis will appreciate the unified, logically integrated treatment of the subject, as well as coverage of important contemporary procedures not covered in more general sequential analysis texts, such as:
An indispensable resource for researchers in sequential analysis, Sequential Estimation is an ideal graduate-level text as well.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Hardcover. Condizione: new. Hardcover. The only comprehensive guide to the theory and practice of one oftoday's most important probabilistic techniques The past 15 years have witnessed many significant advances insequential estimation, especially in the areas of three-stage andnonparametric methodology. Yet, until now, there were no referencesdevoted exclusively to this rapidly growing statisticalfield. Sequential Estimation is the first, single-source guide to thetheory and practice of both classical and modern sequentialestimation techniques--including parametric and nonparametricmethods. Researchers in sequential analysis will appreciate theunified, logically integrated treatment of the subject, as well ascoverage of important contemporary procedures not covered in moregeneral sequential analysis texts, such as: * Shrinkage estimation * Empirical and hierarchical Bayes procedures * Multistage sampling and accelerated sampling procedures * Time-sequential estimation * Sequential estimation in finite population sampling * Reliability estimation and capture-recapture methodologiesleading to sequential tagging schemes An indispensable resource for researchers in sequential analysis,Sequential Estimation is an ideal graduate-level text as well. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780471812715
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Hardcover. Condizione: new. Hardcover. The only comprehensive guide to the theory and practice of one oftoday's most important probabilistic techniques The past 15 years have witnessed many significant advances insequential estimation, especially in the areas of three-stage andnonparametric methodology. Yet, until now, there were no referencesdevoted exclusively to this rapidly growing statisticalfield. Sequential Estimation is the first, single-source guide to thetheory and practice of both classical and modern sequentialestimation techniques--including parametric and nonparametricmethods. Researchers in sequential analysis will appreciate theunified, logically integrated treatment of the subject, as well ascoverage of important contemporary procedures not covered in moregeneral sequential analysis texts, such as: * Shrinkage estimation * Empirical and hierarchical Bayes procedures * Multistage sampling and accelerated sampling procedures * Time-sequential estimation * Sequential estimation in finite population sampling * Reliability estimation and capture-recapture methodologiesleading to sequential tagging schemes An indispensable resource for researchers in sequential analysis,Sequential Estimation is an ideal graduate-level text as well. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9780471812715
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Hardcover. Condizione: new. Hardcover. The only comprehensive guide to the theory and practice of one oftoday's most important probabilistic techniques The past 15 years have witnessed many significant advances insequential estimation, especially in the areas of three-stage andnonparametric methodology. Yet, until now, there were no referencesdevoted exclusively to this rapidly growing statisticalfield. Sequential Estimation is the first, single-source guide to thetheory and practice of both classical and modern sequentialestimation techniques--including parametric and nonparametricmethods. Researchers in sequential analysis will appreciate theunified, logically integrated treatment of the subject, as well ascoverage of important contemporary procedures not covered in moregeneral sequential analysis texts, such as: * Shrinkage estimation * Empirical and hierarchical Bayes procedures * Multistage sampling and accelerated sampling procedures * Time-sequential estimation * Sequential estimation in finite population sampling * Reliability estimation and capture-recapture methodologiesleading to sequential tagging schemes An indispensable resource for researchers in sequential analysis,Sequential Estimation is an ideal graduate-level text as well. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9780471812715
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