Sampling Algorithms Sampling Algorithms
Springer Series in Statistics

Sampling Algorithms

    • ‏119٫99 US$
    • ‏119٫99 US$

وصف الناشر

Over the last few decades, important progresses in the methods of sampling have been achieved. This book draws up an inventory of new methods that can be useful for selecting samples. Forty-six sampling methods are described in the framework of general theory. The algorithms are described rigorously, which allows implementing directly the described methods. This book is aimed at experienced statisticians who are familiar with the theory of survey sampling.Yves Tillé is a professor at the University of Neuchâtel (Switzerland)

النوع
علم وطبيعة
تاريخ النشر
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٢٣ سبتمبر
اللغة
EN
الإنجليزية
عدد الصفحات
٢٢٨
الناشر
Springer New York
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Sampling Designs Dependent on Sample Parameters of Auxiliary Variables Sampling Designs Dependent on Sample Parameters of Auxiliary Variables
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Statistical Inference and Machine Learning for Big Data Statistical Inference and Machine Learning for Big Data
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Sampling and Estimation from Finite Populations Sampling and Estimation from Finite Populations
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Topics in Statistical Simulation Topics in Statistical Simulation
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Statistical Data Fusion Statistical Data Fusion
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Survey Sampling Theory and Applications Survey Sampling Theory and Applications
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Sampling and Estimation from Finite Populations Sampling and Estimation from Finite Populations
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Sampling Methods Sampling Methods
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The Elements of Statistical Learning The Elements of Statistical Learning
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Regression Modeling Strategies Regression Modeling Strategies
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Forecasting with Exponential Smoothing Forecasting with Exponential Smoothing
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An Introduction to Sequential Monte Carlo An Introduction to Sequential Monte Carlo
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Simulation and Inference for Stochastic Differential Equations Simulation and Inference for Stochastic Differential Equations
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Permutation, Parametric, and Bootstrap Tests of Hypotheses Permutation, Parametric, and Bootstrap Tests of Hypotheses
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