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

Effect of Parental Mental Health in Estimation of One Personality Trait from Others with Structural Equation Models | Chapter 8 | Current Topics on Mathematics and Computer Science Vol. 5

 Introduction: Adolescence is a formative but sensitive period of life. A positive environment at home and in the environment has a critical role in the development of various aspects of personality. Lack of a support system can lead to psychological illnesses in teenagers, which should be treated. The Eysenck Personality Questionnaire is a psychiatric tool for assessing personality traits.

The onset of biological, social, and psychological maturity is referred to as adolescence. At this age, a person's personality begins to take shape, and the personality traits developed during this time are likely to stay with them for the rest of their lives. At this age, the role of parents in shaping a child's personality becomes critical. With this context in mind, we'd want to look into the impact of parents' mental health, which has an impact on the home environment, on teenage personality.

Methods: On two groups of adolescents, structural equation models with two and three layers were used to evaluate personality variables found by the Eysenck Personality Questionnaire: I The ‘Control' group, whose parents had no psychiatric disorders recorded; and (ii) the ‘Case' group, whose parent(s) had a psychiatric disease as diagnosed by DSM-IV.

With p-values less than 0.05, the traditional three-layer model predicted ‘Psychoticism' directly by ‘Lie-scale' and indirectly by ‘Extraversion' for the ‘Control' group. Because the p-values were more than 0.05, the two-layered model yielded no significant difference between the base and recommended models for the ‘Control' and ‘Case' groups. A linear combination of Psychoticism, Lie-scale, and Gender in Layer 1 of the model for the ‘Control' group estimated Neuroticism variability up to 63.6 percent.

Conclusion: We found that with EPQ, even if the correlation is not substantial, some information about one dimension can be derived from the other dimension, whether using the traditional three-layer model or the new two-layer approach. In addition, in the case of the ‘Control' group, the proposed two-layer model established the influence of gender at a 10% level of significance. The mean Psychoticism and Neuroticism scores for the ‘Case' groups were greater than those for the ‘Control' group, indicating that parental mental health has an impact on adolescent personality.

Author (s) Details

Alka Sabharwal
Department of Statistics, Kirorimal College, University of Delhi, Delhi-110007, India.

Babita Goyal
Department of Statistics, Ramjas College, University of Delhi, Delhi-110007, India.

Nidhi Arora Dhingra
Department of Mathematics, Ramjas College, University of Delhi, Delhi-110007, India.

View Book :- https://stm.bookpi.org/CTMCS-V5/article/view/2435