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Analyse de régression --- Regression analysis. --- Curve fitting

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Least squares. --- Curve fitting --- Moindres carrés --- Courbes empiriques

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Statistique mathématique --- Mathematical statistics. --- Statistique mathematique --- Curve fitting --- Controle de qualite

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Creating More Effective Graphs gives you the basic knowledge and techniques required to choose and create appropriate graphs for a broad range of applications. Using real-world examples everyone can relate to, the author highlights some of today's most effective methods. In clear, concise language, the author answers such common questions as: What constitutes an effective graph for communicating data? How do I choose the type of graph that is best for my data? How do I recognize a misleading graph? Whether you're a novice at graphing or already use graphs in your work but want to improve them, Creating More Effective Graphs will help you develop the kind of clear, accurate, and well-designed graphs to allow your data to be understood.

effectiviteit --- Mathematical statistics --- grafieken --- wiskundige statistiek --- Statistics --- Graphic methods. --- Diagrams, Statistical --- Statistical diagrams --- Curve fitting --- Graphic methods

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Methods of kernel estimates represent one of the most effective nonparametric smoothing techniques. These methods are simple to understand and they possess very good statistical properties. This book provides a concise and comprehensive overview of statistical theory and in addition, emphasis is given to the implementation of presented methods in Matlab. All created programs are included in a special toolbox which is an integral part of the book. This toolbox contains many Matlab scripts useful for kernel smoothing of density, cumulative distribution function, regression function, hazard funct

Smoothing (Statistics) --- Kernel functions. --- Functions, Kernel --- Functions of complex variables --- Geometric function theory --- Curve fitting --- Graduation (Statistics) --- Roundoff errors --- Statistics