_____________________________________________________________________________________________________ *Corresponding author: Email: usman.stat@yahoo.com; Asian Journal of Advanced Research and Reports 7(2): 1-8, 2019; Article no.AJARR.52893 ISSN: 2582-3248 Modified Ridge Regression Estimator with the Application of Peanut Production in Pakistan Asifa Mubeen 1 , Nasir Jamal 1 , Muhammad Hanif 1 and Usman Shahzad 1* 1 Department of Mathematics and Statistics, Pir Mehr Ali Shah Arid Agricultural University, Rawalpindi, Pakistan. Authors’ contributions This work was carried out in collaboration among all authors. Author AM designed the study, performed the statistical analysis, wrote the protocol and wrote the first draft of the manuscript. Authors NJ and MH managed the analyses of the study. Author US managed the literature searches. All authors read and approved the final manuscript. Article Information DOI: 10.9734/AJARR/2019/v7i230172 Editor(s): (1) Dr. Longan Shang, Professor, School of Biotechnology and Chemical Engineering, Ningbo Institute of Technology, Zhejiang University, Zhejiang, PR China. (2) Dr. Naeem Khan, Department of Plant Sciences, Quaid-I-Azam University, Islamabad, Pakistan. (3) Dr. Him Lal Shrestha, Associate Professor, Coordinator - UNIGIS Programme, Kathmandu Forestry College, Koteshwor, Kathmandu, Nepal. Reviewers: (1) Philbert Modest Luhunga, Tanzania. (2) Essam Fathy Mohamed El-Hashash, Al-Azhar University, Egypt. (3) Huichen Jiang, Beihang University, China. Complete Peer review History: http://www.sdiarticle4.com/review-history/52893 Received 19 September 2019 Accepted 21 November 2019 Published 30 November 2019 ABSTRACT The main objective of the present study was to develop a new ridge regression estimator and fit the ridge regression model to the peanut production data of Pakistan. Peanut production data has been used to analyze the results. The data has been taken peanut production and growth rate of Pakistan. The mean square error of the proposed estimator is compared with some existing ridge regression estimators. In this study, we proposed a ridge regression estimator. The properties of proposed estimators are also discussed. The real data set of peanut production is used for assuming the performance of proposed and existing estimators. Numerical results of real data set show that proposed ridge regression estimator provides best results as compare to reviewed ones. Keywords: Regression; ridge regression; peanut production. Original Research Article