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Distribution Theory for Tests Based on Sample Distribution Function

Presents a coherent body of theory for the derivation of the sampling distributions of a wide range of test statistics. Emphasis is on the;

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Applied Statistical Science III

Uncertain Restrictions; Testing Normality For Censored Data; Large Sample theory For Estimators of the Moments Based On Synthetic Data Under;

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The Birnbaum-Saunders Distribution

discusses methods of inference based on uncensored and censored data, goodness-of-fit tests, and random number generation algorithms for the;

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The Distribution of Income in China

Based on original data obtained from a purpose-designed nationwide household sample survey, the volume contains studies of the overall;

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Tropical Value Distribution Theory And Ultra-discrete Equations

version of the Nevanlinna theory, describing growth and value distribution analysis of continuous, piecewise real function on the real axis. The;

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Advanced Probability Theory for Biomedical Engineers

This is the third in a series of short books on probability theory and random processes for biomedical engineers. This book focuses on;

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Business Statistics MCQs

distributions, probability theory, measures of dispersion, measures of central tendency, introduction to business statistics MCQs with answers, sampling;

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Pairwise Multiple Comparisons

This book focuses on all-pairwise multiple comparisons of means in multi-sample models, introducing closed testing procedures based on;

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A Primer of Permutation Statistical Methods

. Permutation methods are optimal for small data sets and non-random samples, and are free of distributional assumptions. The book follows the;

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A Primer of Permutation Statistical Methods

. Permutation methods are optimal for small data sets and non-random samples, and are free of distributional assumptions. The book follows the;

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Distribution Theory And Applications

of Cauchy, finite parts of Hadamard). They find their natural frame in distribution theory. It is the same for Laplace transformation which is a;

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Rate of Profit, Distribution and Growth

and analyzed for their treatment and distribution and profits theory. The second group is comprised of models within the strict Keynesian;

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Rate of Profit, Distribution and Growth

and analyzed for their treatment and distribution and profits theory. The second group is comprised of models within the strict Keynesian;

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Rate of Profit, Distribution and Growth

and analyzed for their treatment and distribution and profits theory. The second group is comprised of models within the strict Keynesian;

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The Distribution of Prime Numbers

series of natural numbers. The major part of the book is devoted to the analytical theory founded on the zeta-function of Riemann. Despite being;

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Pioneering Works on Distribution Theory

This book highlights the forefront of research on statistical distribution theory, with a focus on unconventional random quantities, and on;

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Probability Concepts in Engineering Planning and Design

Distributions 3.3.2. Covariance and Correlation 3.3.3. Conditional Mean and Variance 3.4. Concluding Remarks Problems 4. Functions of Random Variables;

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Themes in Value and Distribution

The essays in this volume, first published in 1989, seek to re-examine an important area of economic theory: value and distribution. In a;

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Themes in Value and Distribution

The essays in this volume, first published in 1989, seek to re-examine an important area of economic theory: value and distribution. In a;

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Introduction to Probability Theory and Statistical Inference

Discusses probability theory and to many methods used in problems of statistical inference. The Third Edition features material on;

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Robust Multivariate Analysis

types of outliers. Instead of using exact theory based on the multivariate normal distribution, the simpler and more applicable large sample;

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General Theory of Portfolio Efficiency

portfolio efficiency that holds in general because it considers the entire cumulative probability distribution function of returns. It is based on;

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Statistical Physics

systems. This second edition contains new material on: estimators based on a probability distribution for the parameters; identification;

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Statistical Theory and Inference

functions and the support of the distribution are used throughout the text to simplify the theory. More than 50 ``brand name distributions are used;

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One-Dimensional Empirical Measures, Order Statistics, and Kantorovich Transport Distances

facts on inverse distribution functions and beta distributions and their densities necessary to the investigation.;

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Characterizations of Exponential Distribution by Ordered Random Variables

. The aim of the book is to present various characterizations of exponential distribution based on ordered random variables. The book is written;

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Distribution Models Theory

Distribution Models Theory is a revised edition of papers specially selected by the Scientific Committee for the Fifth Workshop of Spanish;

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