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Comparison of Issues and Data Curation Strategies
This chapter synthesizes the literature reviewed in Chaps. 3 and 4, comparing key issues relating to qualitative data reuse and big social research,...
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Sampling Distribution of Correlation
This chapter discusses the sampling distribution of correlation coefficients. The sampling distribution of covariance under normality is discussed...
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Structure and Dynamics of Analytic Philosophy
In this chapter, we investigate by different types of citation analysis the structure and dynamics of Late Analytic Philosophy in order to shed light...
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Quantitative Metaphilosophy
This conclusive chapter discusses how the quantitative analysis of citations and acknowledgments can improve the discipline of philosophy. Then, it...
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Web and Social Media Analytics Strategy
An analytics strategy helps an organization make better decisions using data and analytics. While web analytics helps organizations identify how to...
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Analytics with Simple Regression to Identify Drivers and Forecast
Analytics from regression can easily create a long range forecast based on trend. Regression and correlation, upon which regression is based, reflect...
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A Discussion of the Validity of Data Analytics
Validity is often understood as the “correctness” of a method or instrument. However, many data collection issues can degrade the validity of...
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Social Media Analytics
Social media platforms are powerful for businesses to gain insight into how their customers feel about their company, product, or service. This...
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Persona Analytics
Personas represent distinct user or customer groups in design, human-computer interaction, and marketing. Persona analytics refers to creating...
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Numerical Linear Algebra
Many scientific computational problems in various areas of application involve vectors and matrices. Programming languages such as C provide the...
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Solution of Linear Systems
Abstract
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Explanatory Time Series Models
An explanatory model from time series data allows us to identify performance drivers and forecast performance given specific driver values, just as...
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Vectors and Vector Spaces
Vector spaces are mathematical structures consisting of collections of vectors together with operations on those vectors. The elements of the vectors...
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Selected Applications in Statistics
In this chapter, we consider some applications in statistics that use vectors and matrices. Vectors and matrices correspond naturally to the standard...
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Introduction
This chapter describes the basic fourfold, 2 × 2, contingency tableContingency table, cross-classifying actual and predicted classes, and introduces...
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Number Needed (Reciprocal) Measures and Their Combinations as Likelihoods
This chapter considers various “number needed” (reciprocal or multiplicative inverse) measures of test outcome which can be derived from the basic...
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Special Engagements: Forecasts and Valuation
Auditors have an intimate understanding of their client’s finances. Because of that, they are likely to be called upon to assess the value of a new...
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Quality (Q) Measures
This chapter considers various “quality” measures of test outcome which can be derived from the 2 × 2 contingency tableContingency table, that is...
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Blockchains, Large Language Models, Cybercrime, and Forensics
Auditors are often asked to opine on technical security and encryption technologies, as well as providing admissible evidence in legal cases. This...
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Fundamentals of Auditing Financial Reports
Audits are independent examinations of the records of an organization to ascertain how far the financial statements present a true picture of the...