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Dr. Y. S. Parmar University of Horticulture & Forestry, Solan

Dr. Yashwant Singh Parmar University of Horticulture and Forestry, Solan, was established on 1st December, 1985 with the objective to promote education, research and extension education in the fields of Horticulture, Forestry and allied disciplines. Late Dr. Yashwant Singh Parmar, the first Chief Minister and the architect of Himachal Pradesh perceived the importance of Horticulture and Forestry to develop and improve the State economy which led to the establishment of this University. Its history lies in erstwhile Himachal Agricultural College, Solan, established in 1962 and affiliated to the Panjab University. It became one of the campuses of Agriculture Complex of Himachal Pradesh University on its formation in 1970. Consequent upon the establishment of Himachal Pradesh Krishi Vishvavidyalaya in 1978, this campus became its Horticulture Complex and finally in 1985, assumed the status of a State University, being the only University in the country engaged exclusively in teaching, research and extension in Horticulture and Forestry. The University is located at Nauni in Solan District of Himachal Pradesh, 13 km from Solan on Solan-Rajgarh Road, at an elevation of 1300 metres above mean sea level. Solan town is situated on national highway (NH-22) and is well connected by train and bus services. The University has four constituent colleges, out of which, two are located at the main campus Nauni, one for horticulture and the other for forestry, having 9 and 7 departments, respectively. The third College i.e., College of Horticulture & Forestry is located at Neri in Hamirpur District on Nadaun-Hamirpur state highway, about 6 Km from Hamirpur town and is well connected with bus service. The college offers three Undergraduate Degree Programmes i.e. BSc (Hons.) Horticulture, BSc (Hons.) Forestry and B. Tech. Biotechnology and MSc degree programme in a few subjects. The fourth college i.e. College of Horticulture and Forestry, Thunag (Mandi) is located at Thunag District Mandi. This college offer BSc (Hons.) Horticulture and BSc (Hons.) Forestry degree programme. In addition, there are five Regional Research Stations, 12 Satellite Stations and five Krishi Vigyan Kendras (KVKs) situated in different zones of the State.

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Subject: Agricultural Economics × Author: DEJEN AGEGNEHU × Start date: 2013 × Type: Thesis × Thesis Type: Ph.D ×
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    ThesisItemOpen Access
    AN ALTERNATIVE APPROACH TO CONSTRUCTION OF STRATA IN CASE OF SENSITIVE VARIABLE
    (UHF,NAUNI, 2021-07) DEJEN AGEGNEHU; MAHAJAN, P K
    In stratified random sampling, a proper choice of strata boundaries is one of the important factors as regards to the efficiency of estimator of the population characteristic under study. Mahajan et al. (1994, 1997) considered the problem of finding optimum strata boundaries when the samples from different strata are selected with SRSWR and the data are collected by scrambled randomized response technique on the sensitive character. Keeping in view, the present study, an attempt has been made to propose an alternative method for the determination of Optimum Strata Boundaries (OSB) under equal and Neyman allocations as well as PPS-WR sampling and Ratio & Regression estimation methods for scrambled response. Thus, the optional randomized response model Z = Y. Sk, where k is a random variable having values 1 if the response is scrambled and 0 otherwise, was considered for finding out Approximate Optimum Strata Boundaries (AOSB) by minimizing the variance of the estimator 𝑦̅𝑠𝑡 . The total four rules are proposed and a limiting expression for the variance of the estimator of population mean have also been suggested. Therefore, if there have high values of the sensitivity level (p) in the scrambled randomised response, proposed rule with the ratio and regression estimation methods are appropriate for stratification of optimal boundary. Whereas, if there have a lower value of the sensitivity level of the scrambled randomized response, the proposed rule in equal allocation followed by Neyman allocation are convenient for stratification of optimum strata boundary. However, using the proposed rules, the comparison of relative efficiency of stratification over no stratification and determination of approximate optimum sample size [nh] for different number of strata have been provided