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Penicillium --- Fungi --- Penicillium. --- Atlases --- Atlases.
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Focusing on the computational aspects of statistics rather than the theoretical, this handbook uses a down-to-earth approach that makes statistics accessible to a wide range of users. The authors include algorithmic descriptions and MATLAB code for many of the latest methods in computational statistics. Detailed procedures are also included for readers who do not know MATLAB so they can implement the algorithms using other software packages. As a companion to the handbook, MATLAB functions are available for download that implement the techniques described in the text. This is the first book on the market to show how to use MATLAB to execute a wide variety of computational statistics methods and techniques.
Mathematical statistics --- Statistique mathématique --- Data processing. --- Informatique --- MATLAB. --- 681.3*G3 --- -519.50285 --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- Data processing --- Statistical methods --- MATLAB (Computer program) --- Matrix laboratory --- 681.3*G3 Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- Statistique mathématique --- 519.50285 --- MATLAB (Computer file)
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Mathematical statistics --- Data processing --- Data processing. --- MATLAB. --- -519.50285 --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistical methods --- MATLAB (Computer program) --- Matrix laboratory --- Mathematical statistics - Data processing
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Exploratory Data Analysis with MATLAB presents the methods of EDA from a computational perspective. The authors extensively use MATLAB code and algorithm descriptions to provide state-of-the-art techniques for finding patterns and structure in data. Addressing theory, they also incorporate many annotated references to direct readers to the more theoretical aspects of the methods. The book presents an approach using only the basic functions from MATLAB and the MATLAB Statistics Toolbox, in order to be more accessible and enduring. It also contains pseudo-code to enable users of other software packages to implement the algorithms.
Multivariate analysis --- Mathematical statistics --- Analyse multivariée --- Statistique mathématique --- MATLAB --- Mathematical statistics. --- Multivariate analysis. --- MATLAB. --- Analyse multivariée --- Statistique mathématique
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