Quantitative Methods: Theory and Applications, is a comprehensive textbook for both undergraduate and postgraduate courses on Operations Research, Management Science, and other similar courses. This book helps in understanding model building, solution pro

Classic Grounded Theory: Applications With Qualitative and Quantitative Data provides practical “how to” guidance for doing grounded theory (GT) using the classic approach articulated by Barney Glaser. Authors Judith A. Holton and Isabelle Walsh emphasize the philosophical flexibility of classic GT as a “full package” approach that can be applied to any study and any type of data where the goal is to discover and generate a conceptually integrated theory. Drawing on the experiences of novice researchers who have participated in GT troubleshooting seminars, the book provides step-by-step guidance on undertaking a research study that stays true to the classic GT practice paradigm.

This volume is a valuable resource of research papers and applications presented at the Qualitative and Quantitative Methods in Libraries International Conference QQML2009, on the methodological tools used in library and information science. It provides the reader with a better understanding and holistic view on the subject and contains a plethora of invaluable methodologies and applications to a variety of information and library science. Qualitative and Quantitative Methods in Libraries will be suitable to students as a textbook, as well as to scientists and professionals.

A well-balanced and accessible introduction to the elementary quantitative methods and Microsoft® Office Excel® applications used to guide business decision making Featuring quantitative techniques essential for modeling modern business situations, Introduction to Quantitative Methods in Business: With Applications Using Microsoft® Office Excel® provides guidance to assessing real-world data sets using Excel. The book presents a balanced approach to the mathematical tools and techniques with applications used in the areas of business, finance, economics, marketing, and operations. The authors begin by establishing a solid foundation of basic mathematics and statistics before moving on to more advanced concepts. The first part of the book starts by developing basic quantitative techniques such as arithmetic operations, functions and graphs, and elementary differentiations (rates of change), and integration. After a review of these techniques, the second part details both linear and nonlinear models of business activity. Extensively classroom-tested, Introduction to Quantitative Methods in Business: With Applications Using Microsoft® Office Excel® also includes: Numerous examples and practice problems that emphasize real-world business quantitative techniques and applications Excel-based computer software routines that explore calculations for an assortment of tasks, including graphing, formula usage, solving equations, and data analysis End-of-chapter sections detailing the Excel applications and techniques used to address data and solutions using large data sets A companion website that includes chapter summaries, Excel data sets, sample exams and quizzes, lecture slides, and an Instructors’ Solutions Manual Introduction to Quantitative Methods in Business: With Applications Using Microsoft® Office Excel® is an excellent textbook for undergraduate-level courses on quantitative methods in business, economics, finance, marketing, operations, and statistics. The book is also an ideal reference for readers with little or no quantitative background who require a better understanding of basic mathematical and statistical concepts used in economics and business. Bharat Kolluri, Ph.D., is Professor of Economics in the Department of Economics, Finance, and Insurance at the University of Hartford. A member of the American Economics Association, his research interests include econometrics, business statistics, quantitative decision making, applied macroeconomics, applied microeconomics, and corporate finance. Michael J. Panik, Ph.D., is Professor Emeritus in the Department of Economics, Finance, and Insurance at the University of Hartford. He has served as a consultant to the Connecticut Department of Motor Vehicles as well as to a variety of health care organizations. In addition, Dr. Panik is the author of numerous books, including Growth Curve Modeling: Theory and Applications and Statistical Inference: A Short Course, both published by Wiley. Rao N. Singamsetti, Ph.D., is Associate Professor in the Department of Economics, Finance, and Insurance at the University of Hartford. A member of the American Economics Association, his research interests include the status of war on poverty in the United States since the 1960s and forecasting foreign exchange rates using econometric methods.

A comprehensive, class-tested text covering all aspects of operations research/management science. Designed for students pursuing business careers requiring managerial ability and decision-making skills, it strongly emphasizes applications through numerous real-life examples and illustrations, chapter outlines, discussion questions, problem sets, and ``application reviews'' which describe scenarios involving actual companies that have benefited from each method discussed. The material is presented in a concise, straightforward manner at a suitable mathematical level, i.e., that of finite mathematics and basic algebra. The mathematical foundation for each quantitative method is clearly set forth and illustrated by means of examples. Appendixes contain brief reviews of calculus and matrix algebra. In addition, the text describes how to apply several well-known and readily available microcomputer software packages to operations research/management science problems. Also includes end-of-chapter glossaries, lists of references, tables, and diagrams.

This book is a guide for researchers who are involved in statistical and decision science analyses. Both analyses are explained in detail with samples of real applications in daily life to assist readers to appreciate theoretical and mathematical formulations. It covers a wide variety of applications, including economic issues, i.e., stock markets, quality control in the garment industry, customer satisfaction in the banking industry, experimental design in electronic firms, performance of university web portals, daily fat intake, the optimization of shrimp catching activities, meal planning for nurseries and as well as fairness model in economic games. Understanding