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Statistical Methods for Non-Precise Data

The formal description of non-precise data before their statistical analysis is, except for error models and interval arithmetic, a;

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Statistical Methods for Fuzzy Data

-priori information. Key Features: * Provides basic methods for the mathematical description of fuzzy data, as well as statistical methods that;

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Swarm Intelligence Methods for Statistical Regression

A core task in statistical analysis, especially in the era of Big Data, is the fitting of flexible, high-dimensional, and non-linear models;

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Swarm Intelligence Methods for Statistical Regression

A core task in statistical analysis, especially in the era of Big Data, is the fitting of flexible, high-dimensional, and non-linear models;

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Analysis of Doubly Truncated Data

provides R codes for most of the statistical methods, to help readers analyze their data. Given its scope, the book is ideally suited as a textbook;

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Statistical Models and Methods for Reliability and Survival Analysis

interested in statistical methodology and models useful in survival analysis, system reliability and statistical testing for censored and non;

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Statistics for Environmental Biology and Toxicology

Statistics for Environmental Biology and Toxicology presents and illustrates statistical methods appropriate for the analysis;

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Statistical Concepts and Methods

A non-mathematical introductory statistics text that combines clear explanation of concepts, an extensive coverage of useful statistical;

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Statistical Methods in Psychiatry and Related Fields

of appropriate statistical methods for the analysis of repeated measures data. Ralitza Gueorguieva is a Senior Research Scientist at the Department;

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Statistical Methods in Psychiatry and Related Fields

. Simple statistical methods do not work well with such data. More advanced statistical methods capture the data complexity better, but are;

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Statistical Methods in Psychiatry Research and SPSS

well as introduces data analysis software. The book emphasizes the classification of fundamental statistical methods in psychiatry research;

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Statistical Methods in Psychiatry Research and SPSS

well as introduces data analysis software. The book emphasizes the classification of fundamental statistical methods in psychiatry research;

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Statistical Methods for Drug Safety

of statistical approaches for analyzing pharmacoepidemiologic data. It covers both commonly used techniques, such as proportional reporting ratios for;

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Statistical Methods for Drug Safety

of statistical approaches for analyzing pharmacoepidemiologic data. It covers both commonly used techniques, such as proportional reporting ratios for;

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Understanding and Applying Basic Statistical Methods Using R

data and solutions to all of the exercises Understanding and Applying Basic Statistical Methods Using R is an ideal textbook for an;

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A Practical Guide to Scientific Data Analysis

been written as a statistical companion for the working scientist. This handbook of data analysis with worked examples focuses on the;

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Practical Statistical Methods

an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting;

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Practical Statistical Methods

an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting;

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Translating Statistics to Make Decisions

cannot be made from the results. To non-statisticians with some statistical training, this book offers brush-ups, reminders, and tips for the;

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Essential Statistics for Non-STEM Data Analysts

results produced by data science pipelines. This book is a detailed guide covering the math and various statistical methods required for;

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Statistical Methods in Psychiatry Research and SPSS

their knowledge of statistical methods and fills the gaps in their applications as well as introduces data analysis software. It addresses the;

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Statistical Methods in Psychiatry Research and SPSS

their knowledge of statistical methods and fills the gaps in their applications as well as introduces data analysis software. It addresses the;

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Analysis of Integrated Data

to enable statistical inference, or to generate new statistical data for purposes that cannot be served by each source on its own. This can;

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Analysis of Integrated Data

to enable statistical inference, or to generate new statistical data for purposes that cannot be served by each source on its own. This can;

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Statistical Inference for Financial Engineering

This monograph provides the fundamentals of statistical inference for financial engineering and covers some selected methods suitable for;

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Experiment Design and Statistical Methods For Behavioural and Social Research

Design and Statistical Methods contains a unique extension of the Venn diagram for understanding non-orthogonal design, and it includes exercises;

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Experiment Design and Statistical Methods For Behavioural and Social Research

Design and Statistical Methods contains a unique extension of the Venn diagram for understanding non-orthogonal design, and it includes exercises;

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