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Distribution-Free Statistical Methods, Second Edition

Distribution-free statistical methods enable users to make statistical inferences with minimum assumptions about the population in question;

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Distribution-free Statistical Methods

Distribution-free statistical methods enable users to make statistical inferences with minimum assumptions about the population;

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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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Applied Nonparametric Statistical Methods

While preserving the clear, accessible style of previous editions, Applied Nonparametric Statistical Methods, Fourth Edition reflects the;

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Statistical Intervals

extensive updating of the original chapters, the second edition includes new chapters on: * Likelihood-based statistical intervals * Nonparametric;

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R Through Excel: A Spreadsheet Interface for Statistics, Data Analysis, and Graphics

In this book, the authors build on RExcel, a free add-in for Excel that can be downloaded from the R distribution network. RExcel;

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Statistical Calculation for Beginners

statistical methods. More than ten years after its original publication, a second edition was produced in 1952. This edition corrected a number;

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Distribution-Free Methods for Statistical Process Monitoring and Control

normality and the independence when a process is statistically monitored, and examines in detail change-point analysis-based distribution-free;

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Distribution-Free Methods for Statistical Process Monitoring and Control

normality and the independence when a process is statistically monitored, and examines in detail change-point analysis-based distribution-free;

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Six Sigma Quality Improvement with Minitab

), statistical methods fundamental to the Six Sigma approach to the continuous improvement of products, processes and services. The second edition;

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Six Sigma

), statistical methods fundamental to the Six Sigma approach to the continuous improvement of products, processes and services. The second edition;

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The Inverse Gaussian Distribution: Theory

This monograph is a compilation of research on the inverse Gaussian distribution. It emphasizes the presentation of the statistical;

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The Inverse Gaussian Distribution: Theory

This monograph is a compilation of research on the inverse Gaussian distribution. It emphasizes the presentation of the statistical;

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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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Bayesian Statistics for Experimental Scientists

This book offers an introduction to the Bayesian approach to statistical inference, with a focus on nonparametric and distribution-free;

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Statistical Physics

of Manchester Properties of Matter B. H. Flowers and E. Mendoza Optics Second Edition F. G. Smith and J. H. Thomson Statistical Physics Second Edition E;

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Copula Based Markov Models for Time Series

, Poisson distribution, and others. Presenting likelihood-based methods as the main statistical tools for fitting the models, the book details the;

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Numerical And Statistical Methods

Numerical and statistical methods with the free software SCILAB (http://www-rocq.inria.fr/scilab/);

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Elementary Statistical Methods in Psychology

contained in Elementary Statistical Methods in Psychology and Education, Second Edition. This manual will be a useful tool for the beginning student;

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Statistical Physics

and non-equilibrium problems. This second, revised edition is expanded with biographical notes contextualizing the main results;

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Handbook of Statistical Distributions with Applications

, Second Edition provides quick access to common and specialized probability distributions for modeling practical problems and performing;

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Handbook of Statistical Distributions with Applications

Easy-to-Use Reference and Software for Statistical Modeling and Testing Handbook of Statistical Distributions with Applications, Second;

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Mathematical Methods of Statistics (PMS-9), Volume 9

distribution. The second part contains the general theory of random variables and probability distributions while the third is devoted to the theory;

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Applying and Interpreting Statistics

statistical methodology. The Second Edition retains the unique feature of being written from the users' perspective; it connects statistical models;

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Statistical Optics

many new references have been added Statistical Optics, Second Edition is written for researchers and engineering students interested;

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Statistical Methods in Diagnostic Medicine

accuracy studies, and present key statistical methods for estimating and comparing test accuracy. Topics new to the Second Edition include;

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Robust Nonparametric Statistical Methods

Presenting an extensive set of tools and methods for data analysis, Robust Nonparametric Statistical Methods, Second Edition covers;

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