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Statistical Analysis of Empirical Data: Methods for Applied Sciences

sciences who will benefit from a stronger understanding of how to analyze empirical data. The book is written for those with foundational education;

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Univariate Bivariate & Multivariate Stat

immediately and quickly applied as needed to research projects Shows how to apply statistical analysis using R to data sets in order to get started;

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Statistical Data Analysis Explained

Few books on statistical data analysis in the natural sciences are written at a level that a non-statistician will easily understand. This;

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Applied Compositional Data Analysis

robust statistical methods adapted for compositional data analysis, such as supervised and unsupervised methods like PCA, correlation analysis;

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Spatial Data Analysis in the Social and Environmental Sciences

Within both the social and environmental sciences, much of the data collected is within a spatial context and requires statistical analysis;

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Applied Statistics for Engineers and Scientists

This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. APPLIED STATISTICS FOR;

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Statistical Analysis of Empirical Data

sciences who will benefit from a stronger understanding of how to analyze empirical data. The book is written for those with foundational education;

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Classification and Data Analysis

composite measures, and numerous applications of data analysis methods in economics, finance and other social sciences. The book is intended for a;

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Statistical Analysis of Management Data

Statistical Analysis of Management Data provides a comprehensive approach to multivariate statistical analyses that are important for;

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A Handbook for Data Analysis in the Behaviorial Sciences: Volume 1: Methodological Issues Volume 2: Statistical Issues

editors aim to provide an updated survey on different aspects of empirical research and data analysis, facilitate the understanding of the;

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Methods and Applications of Longitudinal Data Analysis

Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical;

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Applied Univariate, Bivariate, and Multivariate Statistics Using Python - A Beginner's Guide to Advanced Data Analysis

, making the book perfect for those seeking an easily accessible toolkit for statistical analysis with Python. Applied Univariate, Bivariate, and;

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Quantitative Methods for Second Language Research

Statistical Package for Social Sciences (SPSS) program. These include tools for descriptive analysis (e.g., means and percentages) as well as;

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Quantitative Methods for Second Language Research

Statistical Package for Social Sciences (SPSS) program. These include tools for descriptive analysis (e.g., means and percentages) as well as;

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Statistical Analysis of Spherical Data

This is the first comprehensive, yet clearly presented, account of statistical methods for analysing spherical data. The analysis of data;

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Applied Longitudinal Analysis

of the American Statistical Association Features newly developed topics and applications of the analysis of longitudinal data Applied;

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Statistical Methods for Agricultural and Biological Sciences

STATISTICAL METHODS for Agricultural and Biological Sciences introduces basic statistical concepts as are required for understanding;

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Econometrics in Theory and Practice

This book introduces econometric analysis of cross section, time series and panel data with the application of statistical software. It;

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Methods and Applications of Statistics in the Life and Health Sciences

analysis, missing data techniques, and cluster analysis for handling the wide array of modern issues in the life and health sciences. With its;

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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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Maximum Entropy and Bayesian Methods

Mexico, USA, from July 31 to August 4, 1995. Maximum entropy and Bayesian methods are widely applied to statistical data analysis and scientific;

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Using R for Data Analysis in Social Sciences

Statistical analysis is common in the social sciences, and among the more popular programs is R. This book provides a foundation for;

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Statistical Testing Strategies in the Health Sciences

Statistical Testing Strategies in the Health Sciences provides a compendium of statistical approaches for decision making, ranging from;

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Statistical Testing Strategies in the Health Sciences

Statistical Testing Strategies in the Health Sciences provides a compendium of statistical approaches for decision making, ranging from;

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Exploratory Data Analysis in Empirical Research

ideas and examples for cross disciplinary applications of classification and data analysis methods in fields such as data and web mining;

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Biostatistics and Computer-based Analysis of Health Data using Stata

This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of Stata for data;

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