EVALUATION OF STATISTICAL MODELS FOR PREDICTION OF AREA AND PRODUCTION OF POTATO (Solanum tuberosum. L) IN HIMACHAL PRADESH

dc.contributor.advisorGUPTA, R K
dc.contributor.authorKAUR, SUKHDEEP
dc.date.accessioned2021-10-07T10:29:39Z
dc.date.available2021-10-07T10:29:39Z
dc.date.issued2021-10
dc.description.abstractABSRACT The Present Investigation entitled “Evaluation of Statistical models for Prediction of Area and Production of Potato (Solanum tuberosum. L) in Himachal Pradesh.” was undertaken in the Department of Basic Science, Dr. Y.S. Parmar University of Horticulture and Forestry, Nauni, Solan 173230 (H.P.) during 2019-2021. Last 31 years of secondary data based on area (1000 ha) and production (1000 MT) of potato for H.P was used and various prediction models viz. linear, quadratic, cubic, compound, exponential, modified exponential, power, gompertz, logistic, autoregressive and autoregressive integrated moving average were applied and tested. All the six prediction models namely: linear, quadratic, compound, exponential, power, gompertz, 1st order autoregressive and ARIMA (1,2,2) fitted well to the area under potato but among all the models, quadratic model was found to be best model for area under potato with highest value of , lowest value of RMSE, C.V, Theil’s inequality coefficient (U) and non significant F value (chow test). The linear, compound, exponential, logistic, 1st order autoregressive and ARIMA (1,1,2) fitted well to the potato production. ARIMA (1,1,2) was fitted well to the production of potato, but on the basis of , RMSE, C.V, Theil’s inequality coefficient (U) and nonsignificant F value (chow test) linear model was found to be best fitted for potato production. An annual increase in Production growth rate in Potato was obtained during the studied period.en_US
dc.identifier.urihttps://krishikosh.egranth.ac.in/handle/1/5810176757
dc.keywordsEvaluation,Area, Production, Potatoen_US
dc.language.isoEnglishen_US
dc.pages68en_US
dc.publisherUHF,NAUNIen_US
dc.subBasic Sciencesen_US
dc.themeEvaluation,Area, Production, Potatoen_US
dc.these.typeM.Scen_US
dc.titleEVALUATION OF STATISTICAL MODELS FOR PREDICTION OF AREA AND PRODUCTION OF POTATO (Solanum tuberosum. L) IN HIMACHAL PRADESHen_US
dc.typeThesisen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
SUKHDEEP KAUR Final Pdf.pdf
Size:
2.25 MB
Format:
Adobe Portable Document Format
Description:
BASIC SCIENCES
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Collections