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Latest published cases

List of Latest Published Cases

  1. Inventory Management

    Authors: Narayanaswami, Sundaravalli;

    Reference No: QM0278TEC Pages: 17 Published on: 13, March, 2018

    Abstract: This is a technical note on Inventory Models. ... More

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  2. An MLP Model for Rescheduling Disrupted Railway Traffic

    Authors: Narayanaswami, Sundaravalli;

    Reference No: PSG0124TEC Pages: 7 Published on: 5, March, 2018

    Abstract: Research literature generally cover scheduling of transportation services . Disruptions happen while a schedule is en-route and there are very few mathematical models that address to reschedule the disrupted services at the moment and location where disruption has occured. The model reported in this note attempts to reschedule disrupted services with ... More

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  3. Use of Input-Output Statistics in Planning

    Authors: Dholakia, Ravindra H;

    Reference No: PSG0122TEC Pages: 21 Published on: 18, January, 2016

    Abstract: The note discusses major concepts involved in the Input-Output technique and explains their use in economic planning. It also discusses the forward and backward linkage coefficinets and income multiplier estimation for the I-O table. Finally, it introduces the concepts of the Absorption and Make Matrices used in Indian Planning. ... More

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  4. PDEs in Finance -I: Mathematics of the Black-Scholes-Merton PDE

    Authors: Virmani, Vineet;

    Reference No: F&A0492TEC Pages: 35 Published on: 9, February, 2012

    Abstract: This technical note lays out the necessary mathematics for understanding the Black-Scholes-Merton Partial Differential Equation. ... More

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  5. A Note on Test of Normality

    Authors: Laha, Arnab Kumar;

    Reference No: QM0248TEC Pages: 6 Published on: 28, November, 2005

    Abstract: In this technical note we discuss graphical assessment and formal testing procedures for normality.The widely used graphical techniques. P-P & Q-Q plots are described. Several formal testing procedures namely, - tests bazed on Skewness and kurtosis coefficient, Lilliefors test, Shapiro- wilk test and Shapiro - Francia test are described. ... More

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  6. यादृच्छिक प्रतिक्रिया सर्वेक्षण के बारे में एक नोट (A Note on Randomized Respinse Surveys)

    Authors: Laha, Arnab Kumar;

    Reference No: QM0249TEC-Hindi Pages: 8 Published on: 28, November, 2005

    Abstract: इस टैकनिकल नोट में संवेदनशील डाटा एकत्र करने के लिए कुछ उपयोगी तकनीकों के बारे में हमने चर्चा की है। हमने यादृच्छिक प्रतिक्रिया सर्वेक्षण वार्नर की पद्धति की तीन पद्धतियों के बारे में चर्चा की है, असम्बद्ध प्रश्नपद्धति और संवेदनशील मात्रात्मक डाटा एकत्र करने के लिए पद्धति के बारे में चर्चा की है। ये सभी पद्धतियाँ विस्तृत रूप से परीक्षित की गयी हैं और संवेदनशील सर्वेक्षणों में असहयोग / गलत रिपॉर्टिंग को कम करने में काफी महत्व रखती हैं। ... More

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  7. A Note on Randomized Respinse Surveys

    Authors: Laha, Arnab Kumar;

    Reference No: QM0249TEC Pages: 7 Published on: 28, November, 2005

    Abstract: In this technical note we discuss some useful techniques for gathering sensitive data. We discuss three methods of Randomized response surveys warner's methods, unrelated questions method and a method for gathering sertives quantitative data. All there methods has been extensively field tested and has been found to be of great ... More

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  8. Sampling and Centralizing Tendencies

    Authors: Gajulapalli, Ravindra S; Ghosh, Diptesh;

    Reference No: QM0246TEC Pages: 43 Published on: 16, September, 2005

    Abstract: This note addresses sampling concepts introduced in a formulaic manner in managerial statistics textbooks like Anderson et. al. [ASW02] or Levin et. al. [LR97] that are used in Quantitative Methods III course. Students with quantitative backgrounds like engineers are unsatisfied with this approach and ask for further information that cannot ... More

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  9. Solving a Linear Programming Problem Using Solver in Excel

    Authors: Mukherjee, Shantanu;

    Reference No: QM0243TEC Pages: 17 Published on: 21, July, 2004

    Abstract: The note illustrates how a linear porgramming problem can be solved using solver in Excel. It also describes how the output of the solver should be interpreted. ... More

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  10. Time Series Forecasting: Box Jenkin's ARIMA Model

    Authors: Ramani, K V;

    Reference No: CISG0017TEC Pages: 6 Published on: 1, January, 1994

    Abstract: A time series is a sequence of values of some variable, or composite of variables, taken at successive time periods. Examples of time series are monthly demand for cement, yearly production of steel, etc. Time series analysis helps us to understand the nature of the past and present data in ... More

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  11. MOUs: Country Experiences

    Authors: Manikutty, S;

    Reference No: PSG0063TEC Pages: 17 Published on: 1, January, 1993

    Abstract: This note gives the experiences of different countries with the MOU or contracting approach. French contracts, MOUs in different countries, the signalling systems in South Korea and Pakistan, and the performance contracts in Bangladesh are discussed. The experiences of different countries are compared and lessons drawn. ... More

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  12. Student Evaluation

    Authors: Nageswara, T S Rao; Das, Suranjan; Rao, Sreenivas S;

    Reference No: BP0228TEC Pages: 29 Published 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

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  13. A Technical Note on Correlation Theory

    Authors: Tewari, Devi D; Rao, V M;

    Reference No: CMA0709TEC Pages: 5 Published 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

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  14. Some Basic Concepts of Statistics

    Authors: Tewari, Devi D; Rao, V M;

    Reference No: CMA0697TEC Pages: 6 Published 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

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