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Smoothing of Multivariate Data

An applied treatment of the key methods and state-of-the-art tools for visualizing and understanding statistical data Smoothing;

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Multivariate Kernel Smoothing and Its Applications

Kernel smoothing has greatly evolved since its inception to become an essential methodology in the data science tool kit for the 21st;

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Multivariate Kernel Smoothing and Its Applications

Kernel smoothing has greatly evolved since its inception to become an essential methodology in the data science tool kit for the 21st;

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Smoothing Methods in Statistics

, nonparametric regression estimation, categorical data smoothing, and applications of smoothing to other areas of statistics. It will thus be;

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Kernel Smoothing

Kernel smoothing refers to a general methodology for recovery of underlying structure in data sets.The basic principle is that local;

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Multivariate Density Estimation

Clarifies modern data analysis through nonparametric density estimation for a complete working knowledge of the theory and methods;

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Multivariate Data Analysis

For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications;

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Multivariate Data Analysis

For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications;

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Multivariate Data Analysis

For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications;

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Smoothing Splines

A general class of powerful and flexible modeling techniques, spline smoothing has attracted a great deal of research attention in recent;

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Smoothing Splines

A general class of powerful and flexible modeling techniques, spline smoothing has attracted a great deal of research attention in recent;

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Kernel Smoothing

of kernel smoothing in a variety of contexts, considering independent and correlated data e.g. with short-memory and long-memory correlations, as;

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Multivariate Models and Multivariate Dependence Concepts

This book on multivariate models, statistical inference, and data analysis contains deep coverage of multivariate non-normal distributions;

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Multivariate Statistics

The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The first part is devoted;

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Multivariate Data Analysis

For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. The;

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Graphical Tools for the Exploration of Multivariate Categorical Data

Graphical Tools for the Exploration of Multivariate Categorical Data is een boek van Heike Hofmann;

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Practical Smoothing

regression basis makes it straightforward to handle non-normal data, like in generalized linear models. The authors demonstrate optimal smoothing;

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Multivariate Analysis of Ecological Data with Ade4

This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data.;

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An Introduction to Multivariate Data

A comprehensive overview of multivariate data and analysis Providing an introduction to the subject of multivariate data analysis;

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Methods of Multivariate Statistics

data when observations are taken over a period of time on the same subject. With the advent of fast and efficient computers and the;

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Applied Multivariate Data Analysis

Multivariate analysis plays an important role in the understanding of complex data sets requiring simultaneous examination of all variables;

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An Introduction to Applied Multivariate Analysis with R

The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or;

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Methods For Statistical Data Analysis Of Multivariate Observations

This book integrates methods and data based on interpretations relevant to multivariate analysis. It uses an applications approach and;

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Applied Statistics and Multivariate Data Analysis for Business and Economics

applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it;

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Applied Statistics and Multivariate Data Analysis for Business and Economics

applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it;

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Using Multivariate Statistics

This text takes a practical approach to multivariate data analysis, with an introduction to the most commonly encountered statistical and;

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