Computational Framework for Trend Pattern Analysis of Wheat Production in Some Wheat Growing States of India | Chapter 11 | Research Advances and Challenges in Agricultural Sciences Vol. 7

The present study deals with the trend pattern analysis of wheat production in some wheat growing states of India on fitting well-known statistical models. The analysis was carried out on utilizing secondary time series data on wheat production. The trend values were obtained on fitting the statistical models, and the goodness of fit of the models was tested using chi-square test. Furthermore, statistical measures, viz. coefficient of determination (R2), root mean square error (RMSE), and relative mean absolute percentage error (RMAPE) were computed for revealing the model accuracy. The model with R2>0.5, and least values of RMSE and RMAPE, is regarded as the best model. Among the models considered under study, the cubic model was found to be the best in terms of precision for exploring the trends of wheat production in the concerned states. The findings of the study provide some useful insights on statistical modeling techniques for forecasting the scenario of wheat production in the concerned states.

Author(s) Details:

Manish Kumar,
Department of Agricultural Statistics, Acharya Narendra Deva University of Agriculture and Technology, Ayodhya, 224229, India.

Gyan Prakash,
Department of Agricultural Statistics, Acharya Narendra Deva University of Agriculture and Technology, Ayodhya, 224229, India.

Shiv Kumar Rana,
Department of Agricultural Statistics, Acharya Narendra Deva University of Agriculture and Technology, Ayodhya, 224229, India.

Please see the link here: https://stm.bookpi.org/RACAS-V7/article/view/14269

Determination of Residents’ Perception on Health and Residential Value from Telecommunication Tower | Chapter 10 | Modern Perspectives in Economics, Business and Management Vol. 5

 In recent decades, as a result of cellular phone systems and the rapid increase in the number of cellular phone users, public and scientific worry about probable health dangers, particularly exposure to Electromagnetic Fields, has grown among the general public and scientists (EMFs). The goal of this study is to find out how Malaysian citizens feel about the health effects of telecommunication base stations and how that affects property value. Data from a face-to-face survey (N=509) done in all Malaysian states. The participants were required to fill out a standardised questionnaire that measured significant psychological and psychobiological reactions. The Chi-square test with Fisher's exact and binomial logistic regression were employed in Stata Software for statistical analysis. Only one health symptom, headache, was statistically significant for both residents who live close to base station (300m) and those who live far from base station (>300m), according to the findings. The data show that the appearance of a telecommunication tower has no bearing on the price of a home, with the exception of one health condition, weariness. This document also includes a list of recommendations.

Author (S) Details

Norazmawati Md. Sani
School of Housing, Building and Planning, Universiti Sains Malaysia, 11800 Minden, Pulau Pinang, Malaysia.

Ahmad Fahmi Lim Bin Abdullah
School of Health Sciences, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia.

Kai Xin Tay
Faculty of Business, Economics and Accountancy, Universiti Malaysia Sabah,88400 Kota Kinabalu, Sabah, Malaysia.

View Book :- https://stm.bookpi.org/MPEBM-V5/article/view/3334