A user's guide to business analytics. (2016)

• Record Type: Book
• Further Information: Note: Ayanendranath Basu, Srabashi Basu.
• Authors: Basu, Ayanendranath; Basu, Srabashi
• Contents: What Is Analytics?; The Emergence and Application of Analytics; Similarities with and Dissimilarities from Classical Statistical Analysis; Theory versus Computational Power; Fact versus Knowledge: Report versus Prediction; Actionable Insight; Suggested Further Reading; ; Introducing R—An Analytics Software; Basic System of R; Reading, Writing, and Extracting Data in R; Statistics in R; Graphics in R; Further Notes about R; Suggested Further Reading; ; Reporting Data; What Is Data?; Types of Data; Data Collection and Presentation; Reporting Current Status; Measures of Association for Categorical Variables; Suggested Further Reading; ; Statistical Graphics and Visual Analytics; Univariate and Bivariate Visualization; Multivariate Visualization; Mapping Techniques; Scopes and Challenges of Visualization; Suggested Further Reading; ; Probability; Basic Set Theory; The Classical Definition of Probability; Counting Rules; Axiomatic Definition of Probability; Conditional Probability and Independence; The Bayes Theorem; Comprehensive Example; Appendix; Suggested Further Reading; ; Random Variables and Probability Distributions; Discrete and Continuous Random Variables; Some Special Discrete Distributions; Distribution Functions; Bivariate and Multivariate Distributions; Expectation; Appendix; Suggested Further Reading; ; Continuous Random Variables; The PDF and the CDF; Special Continuous Distributions; Expectation; The Normal Distribution; Continuous Bivariate Distributions; Independence; The Bivariate Normal Distribution; Sampling Distributions; The Central Limit Theorem; Sampling Distributions Arising from the Normal; Random Samples from Two Independent Normal Distributions; Normal Q-Q Plots; Summary; Appendix; Suggested Further Reading; ; Statistical Inference; Inference about a Single Mean; Single Population Mean with Unknown Variance; Two Sample t-test: Independent Samples; Two Sample t-test: Dependent (Paired) Samples; Analysis of Variance; Chi-Square Tests; Inference about Proportions; Appendix; Suggested Further Reading; ; Regression for Predictive Model Building; Simple Linear Regression; Multiple Linear Regression; ANOVA for Multiple Linear Regression; Hypotheses of Interest in Multiple Linear Regression; Interaction; Regression Diagnostics; Regression Model Building; Other Regression Techniques; Logistic Regression; Interpreting Logistic Regression Model; Interpretation and Inference for Logistic Regression; Goodness of Fit for the Logistic Regression Model; Hosmer-Lemeshow Statistics; Classification Table and ROC Curve; Suggested Further Reading; ; Decision Trees; Algorithm for Tree-Based Methods; Impurity Measures; Pruning a Tree; Aggregation Method: Bagging; Random Forest; Variable Importance; Decision Tree and Interaction among Predictors; Suggested Further Reading; ; Data Mining and Multivariate Methods; Dimension Reduction Technique: Principal Component Analysis; Factor Analysis; Classification Problem; Discriminant Analysis; Clustering Problem; Suggested Further Reading; ; Modeling Time Series Data for Forecasting; Characteristics and Components of Time Series Data; Time Series Decomposition; Autoregression Models; Forecasting Time Series Data; Other Time Series; Suggested Further Reading
• Publisher Details: Place of publication not identified : Chapman and Hall/CRC
• Publication Date: 2016
• Extent: 1 online resource, illustrations
• Subjects: 658.4033; COMPUTERS / Database Management / Data Mining; Business intelligence; Strategic planning; MATHEMATICS / Probability & Statistics / General
• Languages: English
• ISBNs: 9781466591660; 1466591668
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.