The technique of regression analysis is used so often in business and economics today that an understanding of its use is necessary for almost everyone engaged in the field.
Business Analytics: A Data-Driven Decision Making Approach for Business-Part I,/i> provides an overview of business analytics (BA), business intelligence (BI), and the role and importance of these in the modern business decision-making.
It's estimated that 80 percent of an organization's data contains location attributes, but many don't understand how to unlock the potential of this data for their organizations to make better decisions.
Comparison Between Continuous-Time and Discrete-Time: Event History Analysis with Stata elucidates the statistical concepts and empirical applications of both continuous-time and discrete-time event history models.
Offering pragmatic guidance for planning and conducting a meta-analytic review, this book is written in an engaging, nontechnical style that makes it ideal for graduate course use or self-study.
This book is a concise and innovative book that gives a complete presentation of the design and analysis of experiments in approximately one half the space of competing books.
Regression Analysis: Unified Concepts, Practical Applications, Computer Implementation is a concise and innovative book that gives a complete presentation of applied regression analysis in approximately one-half the space of competing books.
A comprehensive resource for assessment practitioners, this book provides step-by-step guidance for developing, administering, scoring, and validating a range of performance tasks, including literacy and other types of proficiency assessments.
Places, Towns and Townships is an excellent resource for anyone in need of data for all of the nations cities, towns, townships, villages, and census-designated places in one convenient source.
Race and Employment in America: 2013, First EditionThis Bernan Press first edition contains a convenient selection of information from the Census Bureau's Equal Employment Opportunity (EEO) tabulation.
This full-color book provides a compendium of stimulating facts about the states, presented graphically, and covering a wide array of topics including demographic, economic, environmental, health, and crime variables.
Statistical and Probabilistic Methods in Actuarial Science covers many of the diverse methods in applied probability and statistics for students aspiring to careers in insurance, actuarial science, and finance.
Featuring international contributors from both industry and academia, Numerical Methods for Finance explores new and relevant numerical methods for the solution of practical problems in finance.
Contains Nearly 100 Pages of New MaterialThe recent financial crisis has shown that credit risk in particular and finance in general remain important fields for the application of mathematical concepts to real-life situations.
Featuring contributions from leading international academics and practitioners, Credit Risk: Models, Derivatives, and Management illustrates how a risk management system can be implemented through an understanding of portfolio credit risks, a set of suitable models, and the derivation of reliable empirical results.
Economic measures and concepts like GDP, inflation, business cycles and supply chains that were created decades ago are being disrupted and altered by technology.
Economic measures and concepts like GDP, inflation, business cycles and supply chains that were created decades ago are being disrupted and altered by technology.
Using Stata for Quantitative Analysis offers a brief but thorough introduction to analyzing data in undergraduate and graduate level research methods, statistics, and data analysis courses using Stata software.
Using Stata for Quantitative Analysis offers a brief but thorough introduction to analyzing data in undergraduate and graduate level research methods, statistics, and data analysis courses using Stata software.
Drawing on a lifetime of distinguished work in economic research and policymaking, Andrew Kamarck details how his profession can more usefully analyze and solve economic problems by changing its basic approach to research.