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Introduction to Small Area Estimation Techniques: A Practical Guide for National Statistics Offices

explains small area estimation techniques with examples of how the easily accessible R analytical platform can be used to implement them;

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Small Area Estimation and Microsimulation Modeling

Small Area Estimation and Microsimulation Modeling is the first practical handbook that comprehensively presents modern statistical SAE;

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Small Area Estimation and Microsimulation Modeling

Small Area Estimation and Microsimulation Modeling is the first practical handbook that comprehensively presents modern statistical SAE;

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A Course on Small Area Estimation and Mixed Models

methodologies, helping readers understand how to develop new methodologies for small area estimation. It also includes numerous sample applications;

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Small Area Estimation

Praise for the First Edition This pioneering work, in which Rao provides a comprehensive and up-to-date treatment of small area estimation;

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Sampling Statistics

estimation, and procedures such as nonresponse adjustment and small area estimation where models play a key role. A final chapter covers analytic;

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Introduction to Geostatistics

. Introduction to Geostatistics presents practical techniques for the estimation of spatial functions from sparse data. The author's unique approach is a;

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Statistics for Social Research

This text offers an introduction to the basic concepts and techniques that social science students need for a grounding in statistics;

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Probability and Statistics in the Physical Sciences

This book, now in its third edition, offers a practical guide to the use of probability and statistics in experimental physics that;

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Machine Learning

. Understanding these principles leads to more flexible and successful applications. Machine Learning: a Concise Introduction also includes methods for;

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An Introduction to Nonparametric Statistics

An Introduction to Nonparametric Statistics presents techniques for statistical analysis in the absence of strong assumptions about the;

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Probability and Statistics in Experimental Physics

This book is a practical introduction to the use of probability and statistics in experimental physics for graduate students and advanced;

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Classical and Modern Direction-of-Arrival Estimation

>Gives a concise and easy- to- read introduction to the classical techniquesEvaluates the strengths and weaknesses of key super;

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Securing Wireless LANs

to make the appropriate choice for their own situation. This ideal introduction to wireless LAN technology: Provides a broad overview;

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Introduction to Optimization Methods and their Application in Statistics

. Such methods have become of great importance in statistics for estimation, model fitting, etc. This text attempts to give a brief introduction;

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Improving Health Research on Small Populations

, Retention, and Collection of Data 7 Analysis Techniques for Small Population Research 8 Closing Remarks Appendix A: Agenda and List;

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Mathematical Statistics

Presents a unified approach to parametric estimation, confidence intervals, hypothesis testing, and statistical modeling, which are;

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National accounts statistics

in cooperation with the national statistical offices. The publication presents, in the form of analytical tables, a summary of the principal national;

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Estimation with Applications to Tracking and Navigation

in estimation with a focus on applying these techniques to real systems. Other features include:* Problems that apply theoretical material to real-world;

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Mathematical Statistics

This textbook provides a broad and solid introduction to mathematical statistics, including the classical subjects hypothesis testing;

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Applied Statistics for Business and Economics

techniques available for understanding their world. It covers basic probability tools, Bayes' theorem, sampling, estimation, and confidence intervals.;

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Introduction to Statistics with SPSS for Social Science

This is a complete guide to statistics and SPSS for social science students. Statistics with SPSS for Social Science provides a step-by;

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Introduction to Statistics with SPSS for Social Science

This is a complete guide to statistics and SPSS for social science students. Statistics with SPSS for Social Science provides a step-by;

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Introduction to Statistics in Psychology

principles underlying the analyses. "Quick Steps Guide" - this new feature offers a practical, quick guide on how to carry out a statistical analysis;

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Elementary Bayesian Statistics

Elementary Bayesian Statistics is a thorough and easily accessible introduction to the theory and practical application of Bayesian;

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Classification, Parameter Estimation and State Estimation

A practical introduction to intelligent computer vision theory, design, implementation, and technology The past decade has witnessed epic;

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Current Trends in Bayesian Methodology with Applications

networking, fuzzy information, objective Bayesian methodologies, empirical Bayes methods, small area estimation, and many more topics. Each;

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