It is an interdisciplinary book that covers all major topics involved at the interface between business and management on the one hand and mathematics and statistics on the other. Managers and others in industry and commerce who wish to obtain a working knowledge of quantitative techniques will also find this book useful.
The book is written to serve undergraduates of construction-related programmes and postgraduate students undertaking construction management bridging courses. It contains mainly quantitative techniques used to assist, decision making. Plenty of real life examples are used to illustrate the theories, arguments and calculations. It describes the process of conducting an inventory and the methods for integrating information from the inventory into the analysis. It also discusses the application of optimization techniques for assigning significance to points in the study area according to planning objectives.
Consisting of four comprehensive sections, Quantitative Techniques in Landscape Planning includes discussions on the choice of variables relevant to a particular study, and the processes, risks, methodologies, and statistical techniques of performing a landscape planning study. Quantitative Methods: An Introduction for Business Management presents the application of quantitative mathematical modeling to decision making in a business management context and emphasizes not only the role of data in drawing conclusions, but also the pitfalls of undiscerning reliance of software packages that implement standard statistical procedures.
With hands-on applications and explanations that are accessible to readers at various levels, the book successfully outlines the necessary tools to make smart and successful business decisions.
Progressing from beginner to more advanced material at an easy-to-follow pace, the author utilizes motivating examples throughout to aid readers interested in decision making and also provides critical remarks, intuitive traps, and counterexamples when appropriate.
The book begins with a discussion of motivations and foundations related to the topic, with introductory presentations of concepts from calculus to linear algebra. Next, the core ideas of quantitative methods are presented in chapters that explore introductory topics in probability, descriptive and inferential statistics, linear regression, and a discussion of time series that includes both classical topics and more challenging models.
The author also discusses linear programming models and decision making under risk as well as less standard topics in the field such as game theory and Bayesian statistics. Finally, the book concludes with a focus on selected tools from multivariate statistics, including advanced regression models and data reduction methods such as principal component analysis, factor analysis, and cluster analysis.
The book promotes the importance of an analytical approach, particularly when dealing with a complex system where multiple individuals are involved and have conflicting incentives. The emphasis is on understanding the concepts, formulation, and interpretation.
Formulation of linear programming problems, graphical solutions special cases: multiple optimal solution, infeasibility, unbounded solution ; simplex method, special cases, Big-M method, and Two-phase method; Duality emphasis on formulation and economic interpretation ; Sensitivity Analysis; Formulation of Integer programming Media Allocation Problem , Zero-one programming.
Transportation Problem: Formulation, solution by N. Basic Concept, construction of the network diagram, critical path analysis, float, and slack analysis viz.
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