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ThesisItem Open Access STATISTICAL INVESTIGATIONS ON CONIFERS OF TEMPERATE ZONE IN HIMACHAL PRADESH(UHF,NAUNI, 2017-10) SHARMA, AJIT; GUPTA, R.K.ABSTRACT The present investigation entitled “Statistical investigations on conifers of temperate zone in Himachal Pradesh” was carried out in the forest area of Himachal Pradesh. For the study, primary data for diameter and height of conifer plantations was collected from three different forest circles viz. Kullu, Shimla, and Kinnaur. 300 trees of five conifer species viz. Cedrus deodara, Pinus roxburghii, Pinus wallichiana, Abies pindrow and Picea smithiana were recorded from each forest circle and volume was collected from the State Forest Department. The data were subjected to variability analysis in order to test the variability among different circles. Bartlett's chi-square test was used for testing the homogeneity of variances with respect to diameter, height and volume. Various probability distributions were fitted to find out the expected number of trees in each diameter class and its significance was tested by using Kolmogorov-Smirnov test statistic. Gamma distribution was observed best fitted for Cedrus deodara, Pinus wallichiana and Picea smithiana, while normal and log-normal distributions were best fitted for Abies pindrow and Pinus roxburghii respectively to estimate the number of trees in various diameter classes in temperate zone. Regression analysis was done to estimate the volume of conifer species for the construction and prediction of one way volume tables and two way volume tables on the basis of maximum value of R and R , minimum RMSE and Theil’s U-statistic, whereas validation was tested by half-split method and Chow test. The best fit linear model for Cedrus deodara and Pinus wallichiana moreover non-linear power model for Pinus roxburghii, Abies pindrow and Picea smithiana was used to construct two way volume tables. The relative dominance of conifer species was tested out with the help of importance value index (IVI).ThesisItem Open Access STATISTICAL INVESTIGATION ON PREDICTION MODEL(S) FOR IMPORTANT FRUIT CROPS(2013) SHARMA, AJIT; CHAUDHARY, V.K.ABSTRACT The present investigation entitled “Statistical Investigation on Prediction Model(s) for Important Fruit Crops.” was undertaken in the Department of Basic Science, Dr. Y.S. Parmar University of Horticulture and Forestry, Nauni, Solan 173230 (H.P.) during 2011-2013. Last 30 years secondary data based on area (ha) and production (100 MT) of H.P is being used and different statistical techniques and prediction models viz. straight line, second degree parabola, exponential, modified exponential, gompertz and logistic were fitted and tested. It was found that all the models fitted well to the area under the apple crop but the best fitted model was second degree parabola. However, none of the models fitted well to the apple production. It was also observed that second degree parabola model fitted well to the area and production of citrus crop. On the basis of these results it is suggested that the present study is very helpful to the policy makers, planners, research workers and orchardists for making the future plans of important fruit crops of the state and increased the economy of the state.