When dealing with a regular (fixed-support) one-parameter distribution, the corresponding maximum-likelihood estimator (MLE) is, to good approximation, normally distributed. But, when support boundaries are functions of parameter, finding approximation for sampling distribution MLE (needed construct an accurate confidence interval parameter’s true value) may get very challenging. We demonstrate...

background : this study evaluated the role of family history of cancer and gynecologic factors in relation to the etiology of ovarian cancer in a low socioeconomic population in iran. methods : from 2007-2009 we conducted a screening program on women with insurance coverage provided by the imam khomeini relief foundation. a total of 26788 women participated in this study of whom 76 cases had ov...

Background: Trying to find a drug with more clinical efficacy in treating obesity is one of the priorities. The aim of this study was to evaluate the efficacy of orlistat, sibutramine, lorcaserin and metformin on weight loss in obese people. Methods: The databases of PubMed, Scopus, Google Scholar and Cochran Library were searched up to November 2016. In present study search strategy was perfo...

The Weibull distribution is a very applicable model for lifetime data. In this paper, we have investigated inference on the parameters of Weibull distribution based on record values. We first propose a simple and exact test and a confidence interval for the shape parameter. Then, in addition to a generalized confidence interval, a generalized test variable is derived for the scale parameter whe...

abstract objectives, the purpose of this research was to evaluate of the intra-rater and inter-raters reliability of the 10 meter walk test (10 mwt) in 30 adults with spastic cerebral palsy (cp) with subgroup analyses in gross motor function classification system (gmfcs). material & methods, participants  (19 men, 11 women; mean age 27 y and 9 mo) with gmfcs levels below iv (i, ii, and iii) non...

The forecast is very complex in financial markets. The reasons for this are the fluctuation of financial data, Such as Stock index data over time. The determining a model for forecasting fluctuations, can play a significant role in investors deci-sion making in financial markets. In the present paper, the Black Scholes model in the prediction of stock on year later value, on using data from mel...