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Exploratory Data Analysis in Empirical Research

This volume presents a selection of new methods and approaches in the field of Exploratory Data Analysis. The reader will find numerous;

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Empirical Methods for Artificial Intelligence

of the broader empirical enterprise. The first three chapters introduce empirical questions, exploratory data analysis, and experiment design;

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Understanding Robust And Exploratory Data Analysis

some of the preeminent statisticians of the 20th century, Understanding of Robust and Exploratory Data Analysis explains why and how to use;

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Hands-On Exploratory Data Analysis with R

Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skills Key Features Speed up your;

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

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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Exploratory Factor Analysis

contexts is whether the structure of associations that underlies the data is accounted for by a latent construct. Exploratory factor analysis is a;

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Exploratory Factor Analysis

A firm knowledge of factor analysis is key to understanding much published research in the social and behavioral sciences. Exploratory;

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Exploratory Causal Analysis with Time Series Data

and causal connections in time series data sets. Exploratory causal analysis (ECA) provides a framework for exploring potential causal;

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Spatial Data Analysis in Ecology and Agriculture Using R

of four data sets easily accessible online, this book guides the reader through the analysis of each data set, including setting research;

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Reading and Understanding Multivariate Statistics

and correlation, path analysis, principal-components analysis, exploratory and confirmatory factor analysis, multidimensional scaling;

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Coping Systems for Employee Turnover

substantial empirical and conceptual research. Also, a prevailing focus on quantitative data suggests a need for deeper qualitative investigations;

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Modern Methods for Business Research

theory models, data envelopment analysis, and heuristic search procedures. The chapters on modeling examine exploratory and confirmatory factor;

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Spatial Data Analysis

of exploratory spatial data analysis and spatial modeling, it is designed to take the reader through the key areas that underpin the analysis of spatial;

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Exploring Data Tables, Trends, And Shapes

...provides an important theoretical and philosophical extension to the currently popular statistical area of Exploratory Data Analysis, which seeks;

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Exploratory Multivariate Analysis by Example Using R

fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA;

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Exploratory Multivariate Analysis by Example Using R

fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA;

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Modern Methods for Business Research

theory models, data envelopment analysis, and heuristic search procedures. The chapters on modeling examine exploratory and confirmatory factor;

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Exploratory Multivariate Analysis by Example Using R

"An introduction to exploratory techniques for multivariate data analysis, this book covers the key methodology, including principal;

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Critical Theory and Qualitative Data Analysis in Education

the analysis of qualitative data to inform research processes, such as data collection, analysis, and interpretation. This contributed volume;

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Spatial Data Analysis in the Social and Environmental Sciences

overview of current theoretical and applied work for the analysis of spatial data sets. It will be of particular use to research workers and final;

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Ethics, Misconduct and the Financial Services Industry

, from using a mixed methodology, combining literature reviews with empirical, exploratory research based on interviews; and third from;

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Ethics, Misconduct and the Financial Services Industry

, from using a mixed methodology, combining literature reviews with empirical, exploratory research based on interviews; and third from;

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PySpark SQL Recipes

solutions to problems related to dataframes, data manipulation summarization, and exploratory analysis. You will improve your skills in graph data;

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Empirical Political Analysis

from start to finish-hypothesis formation, literature review, research design, data gathering, data analysis, and research report writing;

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Statistical Computing Environments for Social Research

The nature of statistics has changed from classical notions of hypothesis testing toward graphical and exploratory data analysis that;

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Statistical Computing Environments for Social Research

The nature of statistics has changed from classical notions of hypothesis testing toward graphical and exploratory data analysis that;

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