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http://krishi.icar.gov.in/jspui/handle/123456789/81544
Title: | An Overview of Statistical Techniques for Analysis of Data in Agricultural Research |
Other Titles: | Not Available |
Authors: | Rahul Banerjee Bharti Pankaj Das Varun Srivastava Ankita Suraj Kataria Bulbul Ahmed Nitin Varshney |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, Pusa, New Delhi, India Department of Computer Science and Information Technology, Jaypee Institute of Information Technology, Noida, India Department of Agricultural Statistic and Computer Application, Birsa Agricultural University, Kanke, Ranchi, India. Department of Anthropology, University of Delhi, Delhi, India. Department of Agriculture, Galgotias University, Greater Noida, India. Department of Agricultural Statistics, Navsari Agricultural University, Navsari, India. |
Published/ Complete Date: | 2023-09-30 |
Project Code: | Not Available |
Keywords: | Agricultural data design of experiments forecasting techniques sampling techniques statistical modeling growth models |
Publisher: | B P International |
Citation: | Banerjee, R., Bharti, Das, P., Srivastava, V., Ankita, Kataria, S., Ahmed, B., & Varshney, N. (2023). An Overview of Statistical Techniques for Analysis of Data in Agricultural Research. Emerging Issues in Agricultural Sciences Vol. 8, 190–206. https://doi.org/10.9734/bpi/eias/v8/6853C |
Series/Report no.: | Not Available; |
Abstract/Description: | The significance of statistical analysis is paramount in research, particularly in situations involving the collection, classification, analysis, and interpretation of numerical data. Statistical principles find widespread application in various types of experimental studies and serve as a critical component in agricultural research endeavors. The inherent variability present in commonly used experimental materials within agricultural research necessitates the utilization of statistical methods, leading to numerous advancements and innovations in the field of statistics. The selection of an appropriate tool for data analysis and subsequent processes involving statistical components has become a matter of concern. This chapter delves into the diverse statistical techniques essential for the analysis of agricultural data and the derivation of valid conclusions. |
Description: | Not Available |
ISSN: | 978-81-19761-21-0 (Print) 978-81-19761-71-5 (eBook) |
Type(s) of content: | Book chapter |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Emerging Issues in Agricultural Sciences |
Journal Type: | Not Available |
NAAS Rating: | Not Available |
Impact Factor: | Not Available |
Volume No.: | Not Available |
Page Number: | 190-206 |
Name of the Division/Regional Station: | Division of Sample Surveys |
Source, DOI or any other URL: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/81544 |
Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
File | Description | Size | Format | |
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Bharti_2023_BP_6853C (1).pdf | 295.46 kB | Adobe PDF | View/Open |
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