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  • Understanding and Applying Basic Statistical Methods Using R

    Series series Statistics in Practice
    Features a straightforward and concise resource for introductory statistical concepts, methods, and techniques using RUnderstanding and Applying Basic Statistical Methods Using R uniquely bridges the gap between advances in the statistical literature and methods routinely used by non-statisticians. Providing a conceptual basis for understanding the relative merits and applications of these methods ... Leer más

    $74.00 USD

  • A Guide to Robust Statistical Methods

    Series series Mathematics and Statistics (R0)
    Robust statistical methods are now being used in a wide range of disciplines. The appeal of these methods is that they are designed to perform about as well as classic techniques when standard assumptions are true—but they continue to perform well in situations where classic methods perform poorly.This book provides a relatively non-technical guide to modern methods. The focus is on applying ... Leer más

    $98.99 USD

  • Introduction to Robust Estimation and Hypothesis Testing

    Introduction to Robust Estimating and Hypothesis Testing, Fifth Edition is a useful 'how-to' on the application of robust methods utilizing easy-to-use software. This trusted resource provides an overview of modern robust methods, including improved techniques for dealing with outliers, skewed distribution curvature, and heteroscedasticity that can provide substantial gains in power. Coverage ... Leer más

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  • Introduction to Robust Estimation and Hypothesis Testing

    This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic strategies used for developing practical solutions to problems, and provides a brief background on the foundations of modern methods, placing ... Leer más

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  • Applying Contemporary Statistical Techniques

    Applying Contemporary Statistical Techniques explains why traditional statistical methods are often inadequate or outdated when applied to modern problems. Wilcox demonstrates how new and more powerful techniques address these problems far more effectively, making these modern robust methods understandable, practical, and easily accessible.* Assumes no previous training in statistics * Explains ... Leer más

    $80.99 USD

  • Introduction to Robust Estimation and Hypothesis Testing

    Introduction to Robust Estimating and Hypothesis Testing, 4th Editon, is a 'how-to' on the application of robust methods using available software. Modern robust methods provide improved techniques for dealing with outliers, skewed distribution curvature and heteroscedasticity that can provide substantial gains in power as well as a deeper, more accurate and more nuanced understanding of data. ... Leer más

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  • New Statistical Procedures for the Social Sciences

    Modern Solutions To Basic Problems

    This unique volume addresses the inadequacies of basic statistical methods that standard textbooks tend to ignore. The author introduces new procedures with accompanying tables that illustrate the practicality of the methods. Concentrating on basic experimental designs that are central to research in the social sciences, Wilcox describes new nonparametric techniques, two-way ANOVA designs, and new ... Leer más

    $145.99 USD

  • Introduction to Robust Estimation and Hypothesis Testing

    This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic strategies used for developing practical solutions to problems, and provides a brief background on the foundations of modern methods, placing ... Leer más

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  • Regression Modeling with Actuarial and Financial Applications

    Series series International Series on Actuarial Science
    This text gives budding actuaries and financial analysts a foundation in multiple regression and time series. They will learn about these statistical techniques using data on the demand for insurance, lottery sales, foreign exchange rates, and other applications. Although no specific knowledge of risk management or finance is presumed, the approach introduces applications in which statistical ... Leer más

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  • Generalized Linear Models for Insurance Data

    Series series International Series on Actuarial Science
    This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family ... Leer más

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  • Negative Binomial Regression

    This second edition of Hilbe's Negative Binomial Regression is a substantial enhancement to the popular first edition. The only text devoted entirely to the negative binomial model and its many variations, nearly every model discussed in the literature is addressed. The theoretical and distributional background of each model is discussed, together with examples of their construction, application, ... Leer más

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  • Using the Weibull Distribution

    Reliability, Modeling, and Inference

    Series Libro 950 - Wiley Series in Probability and Statistics
    Understand and utilize the latest developments in Weibull inferential methodsWhile the Weibull distribution is widely used in science and engineering, most engineers do not have the necessary statistical training to implement the methodology effectively. Using the Weibull Distribution: Reliability, Modeling, and Inference fills a gap in the current literature on the topic, introducing a self ... Leer más

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