Books and Study Material For Students and Research Scholars
Statistical Methods for Applied Sciences (Manual)
A comprehensive manual on statistical methods for applied sciences. Download PDF Manual
Elements of Statistics for Agriculture and Forestry (Book)
Publisher: Satish Serial Publishing House, New Delhi · 2021 Buy from Publisher
Statistical Methods for Applied Sciences (Manual)
This manual serves as a hands-on study guide for students and research scholars in agricultural statistics, crop science, and forestry. It covers regression models, testing of hypotheses, ANOVA, experimental design, and non-parametric statistics with practical datasets.
Elements of Statistics for Agriculture and Forestry (Book)
Publisher: Satish Serial Publishing House, New Delhi · 2021 Buy from Publisher
Journal Articles & Papers
Ensemble and optimization algorithm in support vector machines for classification of wheat genotypes
Authors: M Khan, BK Hooda, A Gaur, V Singh, Y Jindal, H Tanwar
Decision tree algorithms and their applicability in agriculture for classification
Authors: S Bishnoi, BK Hooda
Probability Analysis of Rainfall Data for Crop Planning in Semi-arid Haryana
Weekly and monthly rainfall data was analysed using probability distributions for crop planning at Hisar, Haryana. Weibull distribution was found most suitable for estimating probabilities of rainfall occurrence at various levels.
AMMI Analysis for G×E Interaction and Stability of Pearl Millet Genotypes
Additive Main Effects and Multiplicative Interaction (AMMI) model was applied to study genotype-by-environment (G×E) interaction of pearl millet genotypes in multi-environment trials across five locations in Haryana.
GGE Biplot Analysis for Stability and Adaptability of Sugarcane Varieties
GGE biplot methodology was employed to evaluate the performance of sugarcane varieties for stability and adaptability. The "which-won-where" pattern revealed variety–environment interaction and identified mega-environments.
Regional Frequency Analysis of Maximum Monthly Rainfall in Haryana State of India Using L-Moments
Authors: M Nain, BK Hooda
ARIMA and State-Space models for sugarcane (Saccharum officinarum) yield forecasting in Northern agro-climatic zone of Haryana.
Authors: E Hooda, U Verma, BK Hooda
A survey of distance measures for mixed variables. International Journal of Chemical Studies
Authors: S Bishnoi, BK Hooda
Probability and trend analysis of monthly rainfall in Haryana
Authors: M Nain, BK Hooda
Assessment of Aspect Based Multidimensional Poverty in Urban Haryana
This work assesses multidimensional poverty in urban Haryana through an aspect-based framework, supporting socioeconomic analysis for development planning.
Identification of homogeneous rainfall stations in Haryana.
The study identifies homogeneous rainfall stations in Haryana, providing a statistical basis for rainfall regionalization and agricultural climate analysis.
A new index for evaluation of G× E interaction in pearl millet using AMMI and GGE biplot analyses
Authors: Mamata, BK Hooda, E Hooda
GGE biplot analysis of multi-environment yield trials for wheat in northern India
Authors: B Kumar, E Hooda, BK Hooda
Fuzzy majority approach for modeling spatial and temporal distributions of daily rainfall in western zone of Haryana
Authors: VB Babu, BK Hooda
Yield stability and association among parametric and non-parametric stability measures for wheat (Triticum aestivum L.) genotypes in Haryana.
Authors: S Bishnoi, BK Hooda
Aspect based multidimensional poverty status of households in rural and urban Haryana.
Authors: N Tanwar, BK Hooda
Relative efficiency of experimental designs in relation to various size and shape of plots and blocks in Indian mustard (Brassica juncea L.) crop
Authors: M Khan, RC Hasija, BK Hooda, N Tanwar, B Kumar
Dynamics of inter-district developmental disparities in Haryana.
Authors: E Hooda, BK Hooda, V Manocha
Dynamics of socio-economic development of districts of eastern Uttar Pradesh
Authors: N Tanwar, S Kumar, BVS Sisodia, BK Hooda
Comparison of penalized and multiple linear regression for prediction of milk yield in crossbred cattle.
This study compares penalized regression methods with multiple linear regression for predicting milk yield in crossbred cattle, highlighting the use of statistical modeling for livestock productivity analysis.
Multivariate analysis of pearl millet data to delineate genetic variation
Authors: S Chaudhary, P Sagar, BK Hooda, RK Arya
Principal component technique for pre harvest estimation of cotton yield based on plant biometrical characters.
This paper applies principal component technique to plant biometrical characters for pre-harvest cotton yield estimation, demonstrating multivariate methods in crop forecasting.
Prediction of milk production using artificial neural network
Authors: H Kumar, BK Hooda
Probability analysis of monthly rainfall for agricultural planning at Hisar
Authors: BK Hooda
Dimension reduction in multivariate analysis using maximum entropy criterion
The paper studies dimension reduction in multivariate data using a maximum entropy criterion, contributing to statistical methods for simplifying complex variable sets.
An economic analysis of production and export of onion in India.
Authors: DP Malik, SK Sanjay Kumar, BK Hooda
Probability Analysis of Rainfall at Nauni, Himachal Pradesh
Authors: BK Hooda, BC Thakur
Estimates of the parameters of type-II extreme value distribution from censored samples
Authors: BK Hooda, NP Singh, U Singh