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Institution

Indian Agricultural Statistics Research Institute

FacilityNew Delhi, India
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.


Papers
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Journal ArticleDOI
TL;DR: In this article, a survey was conducted among three targeted segments of Kerala extension professionals with a total of 100 respondents who were actively involved in the field of agriculture, to evaluate questions about the adoption stage of respondents in using agri-expert systems and factors influencing the extent of adoption.
Abstract: This communication focuses on adoption stages of extension professionals in terms of extent of use of expert systems and factors influencing the extent of adoption of such systems by them, with special reference to agri-expert systems 'KAU-Fertulator' and 'e-Crop doctor' developed by Kerala Agricultural University. A survey was conducted among three targeted segments of Kerala extension professionals with a total of 100 respondents who were actively involved in the field of agriculture, to evaluate questions about the adoption stage of respondents in using agri-expert systems and factors influencing the extent of adoption. Results showed that, extension professionals categorization based on the stage of agri-expert system adoption process. Based on the stage of adoption, respondents were categorized into different adopter categories, which led to comparison with Roger's adopter categorization. Also, innovation proneness was positively and significantly related with extent of adoption expert system among all three categories of respondents. Based on the results, it is imperative to boost the adoption of agri-expert systems by streamlining the basic expert system applications for ease of use.
Journal ArticleDOI
TL;DR: Bioinformatics is a newly emerging discipline, though making significant practice in every area of science, including agriculture as mentioned in this paper , which is making significant contribution in field of agricultural research.
Abstract: Agriculture represents an inevitable component of our life. Across continents, different kind of cereals and crops occupy role of important food. Domestication and improvements of crops is practiced from thousand years. Bioinformatics is a newly emerging discipline, though making significant practice in every area of science, including agriculture. Bioinformatics including different -omics fields (genomics, transcriptomics, proteomics, metabolomics etc) and metagenomics is making a significant contribution in field of agricultural research. Bioinformatics is making available genomic and detailed information about different crops and agricultural important animals which is ultimately assisting researchers in development of improved varieties, disease diagnostic, pathogen resistance, disease tolerance etc. Bioinformatics is playing a significant role in discoveries and studies in field of agriculture.
Journal ArticleDOI
TL;DR: A class of variance balanced circular designs for prime or prime power number of treatments, v (= mp + 1; m, a positive integer) using p ( 4, < v) periods and only mv experimental units has been proposed.
Abstract: Designs involving sequences of treatments (also called changeover, crossover, or repeated measurements designs) balanced for first and second residuals available in literature are usually large even for a moderate number of treatments. Besides, most of these designs require number of periods at least equal to the number of treatments. In this paper a class of variance balanced circular designs for prime or prime power number of treatments, v (= mp + 1; m, a positive integer) using p ( 4, < v) periods and only mv experimental units has been proposed. A simple method of analysis of these designs is given and the efficiency factors relative to the orthogonal designs have been tabulated for v 31 and p 4, 12.
Journal ArticleDOI
TL;DR: The proposed estimator of population total outperforms the existing estimators in terms of the criteria of relative bias and relative root mean square error.
Abstract: Hansen and Hurwitz (1946) technique–based estimator of population total is proposed using the calibration approach under the assumption that the auxiliary variable is negatively correlated with the study variable. The variance estimation is also considered. The two-phase sampling case is also explored. The theoretical results are demonstrated through empirical studies using both generated and real population data. The proposed estimator of population total outperforms the existing estimators in terms of the criteria of relative bias and relative root mean square error.
Book ChapterDOI
01 Jan 2021
TL;DR: In this paper, it is shown that if the population has clumps in it, then the equiprobable assignment may lead to poor estimates of the population parameters, which may result in poor estimation of the parameters.
Abstract: It is well known that if the population under study is homogeneous then one can assign equal probability of selection to the units in the population and can estimate the population parameters using the selected sample. But if the population has clumps in it then the equiprobable assignment may lead to poor estimates of the population parameters.

Authors

Showing all 462 results

NameH-indexPapersCitations
Sunil Kumar302303194
Atmakuri Ramakrishna Rao211091803
Charanjit Kaur20804320
Anil Rai202081595
Ranjit Kumar Paul1793875
Hukum Chandra1775825
Sudhir Srivastava17691123
Krishan Lal16681022
Ashish Das151461218
Eldho Varghese15127842
Deepti Nigam1429812
Mir Asif Iquebal1488604
Rajender Parsad1398799
Deepak Singla1332422
Prem Narain1380503
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20232
202212
2021134
2020107
201951
201868