Sampling Algorithms
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- 119٫99 US$
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- 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)
Sampling Designs Dependent on Sample Parameters of Auxiliary Variables
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Statistical Inference and Machine Learning for Big Data
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Sampling and Estimation from Finite Populations
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Topics in Statistical Simulation
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Statistical Data Fusion
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Survey Sampling Theory and Applications
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The Elements of Statistical Learning
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Regression Modeling Strategies
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Forecasting with Exponential Smoothing
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An Introduction to Sequential Monte Carlo
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Simulation and Inference for Stochastic Differential Equations
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Permutation, Parametric, and Bootstrap Tests of Hypotheses
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