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Contemporary Experimental Design, Multivariate Analysis and Data Mining

features four review papers on Professor Fang's numerous contributions to the fields of experimental design, multivariate analysis, data mining and;

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Applied Multivariate Stat Analysis PNIE

courses in Experimental Design and Statistics. Appropriate for experimental scientists in a variety of disciplines, this market-leading text;

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Social Big Data Mining

data, data mining for making a hypothesis, multivariate analysis for verifying the hypothesis, web mining and media mining, natural language;

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Social Big Data Mining

data, data mining for making a hypothesis, multivariate analysis for verifying the hypothesis, web mining and media mining, natural language;

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Pharmaceutical Experimental Design and Interpretation

of experimental design and evaluation such as multivariate, sequential, and principal components analysis. With new sections on neural networks;

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Pharmaceutical Experimental Design and Interpretation

of experimental design and evaluation such as multivariate, sequential, and principal components analysis. With new sections on neural networks;

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Contemporary Multivariate Analysis And Design Of Experiments

This book furthers new and exciting developments in experimental designs, multivariate analysis, biostatistics, model selection and related;

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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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Statistical Analysis of fMRI Data

A guide to all aspects of experimental design and data analysis for fMRI experiments, completely revised and updated for the second edition;

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Data Mining & Predictive Analytics

Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data;

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Multivariate Data Analysis

For graduate-level courses in Marketing Research, Research Design and Data Analysis . Well-suited for the non-statistician, this;

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Discovering Knowledge In Data

The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence. Due to the ever;

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Environmental Chemometrics

considerations, experimental design and optimization techniques, multivariate analysis of environmental and chemical data sets, time series analysis, and;

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Environmental Chemometrics

considerations, experimental design and optimization techniques, multivariate analysis of environmental and chemical data sets, time series analysis, and;

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Data Mining for Design and Marketing

Data Mining for Design and Marketing shows how to design and integrate data mining tools into human thinking processes in order to make;

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Data Mining for Design and Marketing

Data Mining for Design and Marketing shows how to design and integrate data mining tools into human thinking processes in order to make;

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Statistical Data Mining Using SAS Applications

of user-friendly data mining SAS tools. Integrating the statistical and graphical analysis tools available in SAS systems, the book provides;

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Design and Analysis of Experiments with R

Design and Analysis of Experiments with R presents a unified treatment of experimental designs and design concepts commonly used;

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Market Research and Modeling: Progress and Prospects

Scaling, Conjoint Analysis, Applications of Conjoint and MDS technique, Data Mining, Cluster Analysis, and Neural Networks.;

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Data Mining and Data Visualization

Data Mining and Data Visualization focuses on dealing with large-scale data, a field commonly referred to as data mining. The book;

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Essays in Probability and Statistics

, multiresponse experiments, categorical data analysis, statistical inference, decision theory, stochastic processes, experimental design, and coding;

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Applied Plant Science Experimental Design and Statistical Analysis Using Sas(r) Ondemand for Academics

The correct design, analysis and interpretation of plant science experiments is imperative for continued improvements in agricultural;

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Applied Plant Science Experimental Design and Statistical Analysis Using SAS (R) OnDemand for Academics

The correct design, analysis and interpretation of plant science experiments is imperative for continued improvements in agricultural;

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Multivariate Calibration

in non-selective, overwhelming and apparently useless measurements by multivariate data analysis. Multivariate calibration is the process;

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Data Mining

of management and engineering design problems. Data Mining is organised into two parts: the first provides a focused introduction to data mining and;

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