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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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  • ThesisItemOpen Access
    SOME CONTRIBUTIONS IN THE THEORY OF CONSTRUCTION OF STRATA
    (UHF,NAUNI, 2016) THAKUR, ASHU; MAHAJAN, P.K.
    ABSTRACT The method of choosing the best boundaries that make strata internally homogeneous, given some sample allocation, is known as optimum stratification. To achieve this, the strata are constructed in such a way that the strata variances should be as small as possible for the characteristic under study. Present study considers the problem of finding optimum strata boundaries to optimize the estimation of sensitive/stigmatized characters when sample sizes from different strata are selected with simple random sampling with replacement (SRSWR) and probability proportional to size sampling with replacement (PPSWR) and the data are collected by scrambled randomized response technique on the sensitive study variable. Assuming the form of the regression of the estimation variable y on the auxiliary variable x as y = ƞ(x) + e and the form of the conditional variance V (Y/X), the minimal equations giving optimum strata boundaries by minimizing the variance of the estimator of the population mean have been obtained. Due to implicit nature of these equations, the approximate solutions to these minimal equations have been found to give approximate optimum strata boundaries (AOSB). The total four rules have been proposed to have AOSB i.e. for Neyman allocation with SRSWR, equal and proportional allocation in PPSWR and for ratio and regression method of estimation. Limiting expressions for the variance of the estimator of population mean have also been suggested. Numerical investigation into the relative efficiency of stratification under all considered allocations with respect to no stratification have also been made for three usually encountered distributions namely rectangular, right triangular and exponential.