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An Overview of Statistical Techniques for Analysis of Data in Agricultural Research

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Title An Overview of Statistical Techniques for Analysis of Data in Agricultural Research
Not Available
 
Creator Rahul Banerjee
Bharti
Pankaj Das
Varun Srivastava
Ankita
Suraj Kataria
Bulbul Ahmed
Nitin Varshney
 
Subject Agricultural data
design of experiments
forecasting techniques
sampling techniques
statistical modeling
growth models
 
Description Not Available
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.
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Date 2024-03-01T15:44:18Z
2024-03-01T15:44:18Z
2023-09-30
 
Type Book chapter
 
Identifier 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
978-81-19761-21-0 (Print) 978-81-19761-71-5 (eBook)
http://krishi.icar.gov.in/jspui/handle/123456789/81544
 
Language English
 
Relation Not Available;
 
Publisher B P International