Indian Agricultural Statistics Research Institute

About: Indian Agricultural Statistics Research Institute is a facility organization based out in New Delhi, India. It is known for research contribution in the topics: Population & Small area estimation. The organization has 454 authors who have published 870 publications receiving 7987 citations.

COMPUTER AIDED‐CONSTRUCTION OF D‐OPTIMAL 2m FRACTIONAL DESIGNS OF RESOLUTION V

Abstract: summary A new exchange algorithm for construction of 2mD-optimal fractional factorial design (FFD) is devised. This exchange algorithm is a modification of the one due to Fedorov (1969, 1972) and is an improvement over similar algorithm due to Mitchell (1974) and Galil & Kiefer (1980). This exchange algorithm is then used to construct 54 D-optimal 2m-FFD's of resolution V for m = 4,5,6.

Optimum plant stand and nutrient doses for summer groundnut under check basin irrigation and drip fertigation in light black soils of peninsular Western India

Abstract: A field experiment was conducted at Research Farm of ICAR-Directorate of Groundnut Research, Junagadh for consecutive three summer seasons of 2013, 2014, and 2015 with the objectives of ide...

A Bootstrap Study of Variance Estimation under Heteroscedasticity using Genetic Algorithm

Abstract: The conventional ordinary least squares (OLS) variance-covariance matrix estimator for a linear regression model under heteroscedastic errors is biased and inconsistent. Accordingly, several estimators have so far been proposed by various researchers. However, none of these perform well under the finite-sample situation. In this paper, the powerful optimization technique of Genetic algorithm (GA) is used to modify these estimators. Properties of these newly developed estimators are thoroughly studied by Monte Carlo method for various sample sizes. It is shown that GA-versions of the estimators are superior to corresponding non-GA versions as there are significant reductions in the Total relative bias as well as Total root mean square error.

An Optimal Procedure for Sample Coordination Using Multiple Objective Functions and Nearest Proportional to IPPS Size Sampling Designs

Abstract: The sample coordination problem involves maximization or minimization of overlap of sampling units in different/repeated surveys. Several optimal techniques using transportation theory, controlled rounding, and controlled selection have been suggested in literature to solve the sample coordination problem. In this article, using the multiple objective programming, we propose a method for sample coordination which facilitates variance estimation using the Horvitz–Thompson estimator. The proposed procedure can be applied to any two-sample surveys having identical universe and stratification. Some examples are discussed to demonstrate the utility of the proposed procedure.

Online system for Integrated Pest Management on tomato in AGRIdaksh

Abstract: Integrated Pest Management (IPM) is a traditional and systematic way that brings together different pest control strategies and is becoming popular alternative to chemical pesticides, which in turn reduces the hazardous effect of chemical pesticides on agro ecosystem. Information about IPM practices are available mainly in the form of books, journals, magazines, brochures etc. These mediums are not interactive and have a limited reach. There is a need to put all these information in electronic form and deliver it to the user in attractive and faster way. AGRIdaksha tool developed at IASRI for development of expert systemis used as a medium to disseminate the information of IPM practices for different crops. Tomato is an important vegetable crop in India. One of the major challenges in tomato growing is crop protection against pests and diseases. A module for IPM has been built in AGRIdaksh for dissemination of IPM practices. This module has been developed using standard 3 tier architecture with business logic implemented in Java Server Pages (JSP) and database is implemented in SQL Server 2008.Mainly two types of users (Domain expert and End users) are envisagedin the system. Domain expert can enter the information about disease, pest, variety, IPM practices etc. online. System provides information about diseases, pests and IPM practices and recommendation to End users (Extension workers and Farmers).