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Independent Random Sampling Methods

This book systematically addresses the design and analysis of efficient techniques for independent random sampling. Both general-purpose;

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Independent Random Sampling Methods

This book systematically addresses the design and analysis of efficient techniques for independent random sampling. Both general-purpose;

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Sampling Theory and Methods

Sampling Theory and Methods presents in detail several sampling schemes like simple random sampling, unequal probability sampling methods;

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Sampling and Statistical Methods for Behavioral Ecologists

reviews important issues such as defining the statistical population and the sampling plan when using non-random methods for sample selection;

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Sampling and Statistical Methods for Behavioral Ecologists

reviews important issues such as defining the statistical population and the sampling plan when using non-random methods for sample selection;

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Sampling Strategies for Natural Resources and the Environment

area basis as well as on an elemental basis. In addition to common sampling designs such as simple random sampling and list sampling, the;

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Sampling Strategies for Natural Resources and the Environment

area basis as well as on an elemental basis. In addition to common sampling designs such as simple random sampling and list sampling, the;

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Monte Carlo and Quasi-Monte Carlo Sampling

-Monte Carlo sampling in practice. The first part of the book focuses on issues related to Monte Carlo methods-uniform and non-uniform random;

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Ranked Set Sampling Models and Methods

. This type of sampling is an alternative to simple random sampling and can offer substantial improvements in precision and efficient estimation;

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Computing and Random Numbers

-Randomness in Ring Oscillator-Based True Random Number Generators, Random Route and Quota Sampling: Do They Offer Any Advantage over Probably;

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Sampling

selection, calculation of estimates, and simulations; and more. Organized into six sections, the book covers basic sampling, from simple random to;

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Field Sampling for Environmental Science and Management

simple random sampling and then progresses to more efficient designs, such as spatially stratified random sampling, stratification by classes and;

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Field Sampling for Environmental Science and Management

simple random sampling and then progresses to more efficient designs, such as spatially stratified random sampling, stratification by classes and;

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Statistical Survey Design and Evaluating Impact

concise manner. Sampling design techniques, including simple random sampling, stratified sampling, systematic sampling and cluster sampling, are;

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Analyzing Complex Survey Data

problems that often arise. It includes discussions on the choices involved in variance estimates, simple random sampling without replacement;

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Handling Missing Data in Ranked Set Sampling

, simple random sampling is used to select samples. Most statistical models are supported by the use of samples selected by means of this design;

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Structural Analysis in the Social Sciences

of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling;

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Structural Analysis in the Social Sciences

of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling;

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Statistics 2 (International)

combinations of random variables, continuous random variables, sampling and estimation, and hypothesis tests.;

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A Probability and Statistics Companion

many sampling techniques that can actually improve on simple random sampling, and in addition, an introduction to the design of experiments;

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Introduction to Ecological Sampling

An Easy-to-Understand Treatment of Ecological Sampling Methods and Data Analysis Including only the necessary mathematical derivations;

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Probability and Statistics

of random variables Sampling distributions Estimation Interval estimation Tests of statistical hypotheses Model building and regression Design;

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Components of Variance

effectively by independent, identically distributed random variables or by random sampling from a hypothetical infinite population. Components;

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Components of Variance

effectively by independent, identically distributed random variables or by random sampling from a hypothetical infinite population. Components;

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Random Walks Of Infinitely Many Particles

the particles at time t = 0 are distributed in Rd according to the law of a given random field and they execute independent random walks. Part;

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Random Fourier Series with Applications to Harmonic Analysis. (AM-101), Volume 101

proper definition of random Fourier series is made. In doing this the authors obtain new results on sums of independent random matrices with;

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Random Matrices And Random Partitions

partitions. It mainly consists of three parts. Part I is a brief review of classical central limit theorems for sums of independent random variables;

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