Reference No: QM0200Pages: 8Published on: 1, January, 1985
Abstract: The case describes a situation where a decision regarding the publications of a manuscript needs to be made. The problem is complicated in view of the uncertainty associated with the demand. The case can be used to illustrate the uncertainties of a decision making situation. ... More
Reference No: CMA0617Pages: 5Published on: 1, January, 1985
Abstract: This case is based on published data on six major agro-processing industries, viz. dairy products, fruits and vegetable products, grain products, sugar, edible oil and fats, and prepared animal feeds. These data are presented with a view to determining working capital intensity and the relative priority of these industries in ... More
Reference No: CMA0633TECPages: 6Published on: 1, January, 1986
Abstract: This note identifies the factors that affect the demand for working capital loans on a farm. It also explains the need for estimation of working capital loans and the problems confronted by lending institutions in its precise estimation. The note gives various models and their limitations in estimating the working ... More
Reference No: QM0199TECPages: 3Published on: 1, January, 1986
Abstract: Introduces the concept of probability. Various approaches that lead to the definition of probability, with their advantages as well as disadvantages, are discussed. ... More
Reference No: CMA0636Pages: 25Published on: 1, January, 1987
Abstract: This is a comprehensive case for teaching the applications of all important concepts in financial and economic analysis of an agro-industrial project. The brackish water aquaculture development project consists of four components: 1) site selection for and construction of and management of ponds in each site; 2) site selection for and construction ... More
Reference No: CMA0697TECPages: 6Published on: 1, January, 1990
Abstract: Statistics consist of two parts: descriptive and inferential. Knowledge of some basic statistical concepts is a prerequisite for developing deep into the theory of statistical inference and econometric analysis. Concepts like population vs. sample, parameters vs. statistics, and frequency distribution vs. probability distribution are brought out. ... More
Reference No: CMA0701TECPages: 21Published on: 1, January, 1990
Abstract: This note introduces the concept of probability and probability distribution which is the backbone of statistical inference theory. Definition of probability, joint, marginal, and conditional probability distributions are provided and properties of probability distributions are outlined. Various sampling distributions which are used by econometricians are discussed in brief. ... More
Reference No: CMA0699TECPages: 11Published on: 1, January, 1990
Abstract: Statistical inference is basically concerned with drawing conclusions about a population based on samples drawn from it. The probabilistic decision criteria are the very foundation of inferential statistics. The concept of hypothesis testing is presented in and this note is followed by discussion of properties of estimators, small and large ... More
Reference No: CMA0696TECPages: 8Published on: 1, January, 1990
Abstract: This note defines what econometrics is. The differences between models and economic models are brought out. The six steps involved in econometric model building are (a) statement of theory of hypothesis, (b) specification of theoretical econometric model for testing theory, (c) estimation of the parameters of the model, (d) evaluation ... More
Reference No: CMA0705Pages: 19Published on: 1, January, 1990
Abstract: The government silk filature, Chikkahalli is one of the four such units owned by the government of Karnataka. These units purchase silkworm cocoons from regulated cocoon markets and sell reeled silk in the silk exchanges. The Chikkahalli unit had been incurring losses for several years and all measures to improve ... More
Reference No: CMA0700TECPages: 12Published on: 1, January, 1990
Abstract: Various data summary measures are briefly discussed in this note. In the first section, various measures of location or averages are discussed, followed by a discussion on measures of data dispersion in the second section. In third section, measures of skewness and kurtosis are discussed. ... More
Reference No: QM0227Pages: 2Published on: 1, January, 1991
Abstract: This is a two variable problem in LP that can be used as an introductory case. It also has interesting issues related to shadow process, as well as scope for discussion on marginal contribution benefit versus average contribution benefit. ... More
Reference No: CMA0709TECPages: 5Published on: 1, January, 1991
Abstract: This note defines correlation and discusses various forms of correlations. Partial and rank correlations are also discussed, and an example is given to compute linear and rank correlation coefficients. ... More
Reference No: BP0228TECPages: 29Published on: 1, January, 1991
Abstract: Educational evaluation is defined as the measurement and appraisal of a comprehensive range of educational objectives, defined in terms of student behaviour, through the use of a variety of techniques. Student evaluation helps the teacher in adapting his instruction to the students' needs and in giving proper guidance. This note ... More
