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Quantitative Medical Data Analysis Using Mathematical Tools And Statistical Techniques

in data analysis, survival data analysis and survival models for cancer patients, statistical analysis and neural network techniques for genomic;

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Statistical Techniques for Transportation Engineering

Statistical Techniques for Transportation Engineering is written with a systematic approach in mind and covers a full range of data;

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Statistical Modelling and Analysis Techniques

multivariate data analysis, data mining, inference for statistical models, sampling methods and reliability studies. An article dedicated to Professor;

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Statistics For The Biosciences

Statistical techniques for the presentation and analysis of biological data are indispensable tools for the biologist. The purpose of this;

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Multivariate Data Analysis

perspectives and techniques that are foundational in today's world of analytics. Multivariate Data Analysis serves as the perfect companion for;

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Statistical Techniques for Data Analysis

. Valuable to everyone who produces, uses, or evaluates scientific data, Statistical Techniques for Data Analysis, Second Edition provides;

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Statistical Techniques for Data Analysis, Second Edition

. Valuable to everyone who produces, uses, or evaluates scientific data, Statistical Techniques for Data Analysis, Second Edition provides;

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Statistical Methods for Handling Incomplete Data

in the area of missing data analysis. Statistical Methods for Handling Incomplete Data covers the most up-to-date statistical theories and;

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Computationally Intensive Statistics for Intelligent IoT

of computer resources, and statistical graphics role in data analysis. It also explores computational inferencing and computer model's role in design;

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Statistical Analysis Methods for Chemists

the chemical factors which may influence the outcome. Statistical data analysis techniques provide the tools which enable a chemist to assess;

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Fundamental Statistical Methods for Analysis of Alzheimer's and Other Neurodegenerative Diseases

A statistics textbook that delivers essential data analysis techniques for Alzheimer's and other neurodegenerative diseases. Alzheimer's;

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Computational Learning Approaches to Data Analytics in Biomedical Applications

Computational Learning Approaches to Data Analytics in Biomedical Applications provides a unified framework for biomedical data analysis;

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Statistical Analysis of Reliability Data

the statistical techniques used for the assessment of reliability.;

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Data Analysis for Business Decision Making

This laboratory manual is intended for business analysts who wish to increase their skills in the use of statistical analysis to support;

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Advanced Statistical Methods for the Analysis of Large Data-Sets

The theme of the meeting was Statistical Methods for the Analysis of Large Data-Sets . In recent years there has been increasing interest;

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How to Analyze Data

Here is a basic introduction to a variety of elementary statistical techniques, including those for summarizing data, for examining;

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SAS Essentials

A step-by-step introduction to using SAS (R) statistical software as a foundational approach to data analysis and interpretation;

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Practical Guides to Biostatistics and Epidemiology

This practical guide to survival data and its analysis for readers with a minimal background in statistics shows why the analytic methods;

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Data Management and Analysis Using JMP

techniques to prepare data for analysis, followed by presenting effective methods to summarize, visualize, and analyze data. The statistical analysis;

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Statistical Modelling of Molecular Descriptors in QSAR/QSPR

employing data analysis and machine learning techniques for QSAR/QSPR. The high-profile international author and editor team ensures excellent;

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The Analysis of Cross-Classified Categorical Data

tables. Until recent years the statistical and computational techniques available for the analysis of cross-classified data were quite limited;

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Easy Statistics for Food Science with R

for the analysis and interpretation of data. R statistical software is used throughout the book to analyze the data. Contains;

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GIS and Spatial Analysis for the Social Sciences

logic and techniques for doing spatial analysis in their chosen fields of inquiry. The book contains a wealth of examples as to why these;

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GIS and Spatial Analysis for the Social Sciences

logic and techniques for doing spatial analysis in their chosen fields of inquiry. The book contains a wealth of examples as to why these;

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Environmental Data Analysis

coverage of the scope. Main techniques described in this book are models for linear and nonlinear environmental systems, statistical & numerical;

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Statistical Bioinformatics

statistical and quantitative researchers to rapidlylearn novel statistical concepts and techniques appropriate forlarge biological data analysis;

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A Practical Guide to Scientific Data Analysis

been written as a statistical companion for the working scientist. This handbook of data analysis with worked examples focuses on the;

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