Journal of Statistics and Machine Learning 2020-05-26T15:59:12+00:00 Open Journal Systems <p>This is a peer-reviewed and well indexed scientific journal dedicated to publish and disseminate the high quality scientific research work in the broad field of statistical sciences. Scope of the journal includes: Statistics, Biostatistics, Epidemiology, Econometrics and Machine Learning.</p> Sensitivity and Stratification Analysis on the Accuracy of the Cause of Deaths Diagnosis in Shanghai 2020-05-07T00:34:03+00:00 Yue Zhao <p>This study was to examine the accuracy of the Cause of Deaths (CoD) for the hospital doctors in Shanghai, China. Medical Record (MR) doctors were trained first and then the MR doctor diagnosis was treated as the gold standard. Then we used this gold standard to compare the performance of the hospital doctors. The initial result showed that the tertiary hospital doctors have a lower rate of concordance. After further stratification, the result showed that the concordance rate was confounded by the complication of the diseases.</p> 2020-05-07T00:00:00+00:00 Copyright (c) 2020 Journal of Statistics and Machine Learning The Effect of Mergers and Acquisitions (M&A) on the Capital Structure in Food, Beauty and Tech Sectors 2020-05-26T15:59:12+00:00 Yuwen Liu <div class="page" title="Page 1"> <div class="layoutArea"> <div class="column"> <p>This paper investigates the effect of Mergers and Acquisitions (M&amp;A) on the capital structure of acquiring firms in food, beauty and tech industries. It also examines the influences of firm-specific factors and the 2007-2008 financial crisis on the leverage ratio. We employed panel data approaches for 14 companies in 3 sectors from 1995-2017. The result shows that corporate financing decision is significantly affected by profitability, tangibility, and size. When size increases, leverage ratio increases. However, profitability and tangibility have negative effects. In addition, the financial crisis is positively related to the leverage ratio, but we observe that financial crisis become insignificant with robustness checks. The finding of this study indicates that the capital structure of companies in food, beauty and tech sector has no direct relationship with the M&amp;A activities of the company. However, after the financial crisis, the size and growth opportunities become significant.</p> </div> </div> </div> 2020-05-26T00:00:00+00:00 Copyright (c) 2020 Journal of Statistics and Machine Learning