Sequential Estimation
ΡΠ΅ΠΏ. 2011β―Π³. Β· John Wiley & Sons
Π-ΠΊΠ½ΠΈΠ³Π°
504
Π‘ΡΡΠ°Π½ΠΈΡΠΈ
reportΠΡΠ΅Π½ΠΈΡΠ΅ ΠΈ ΡΠ΅ΡΠ΅Π½Π·ΠΈΠΈΡΠ΅ Π½Π΅ ΡΠ΅ ΠΏΠΎΡΠ²ΡΠ΄Π΅Π½ΠΈ Β ΠΠΎΠ·Π½Π°ΡΡΠ΅ ΠΏΠΎΠ²Π΅ΡΠ΅
ΠΠ° Π΅-ΠΊΠ½ΠΈΠ³Π°Π²Π°
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.
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.
ΠΠ° Π°Π²ΡΠΎΡΠΎΡ
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.
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.
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