جباری نوقابی, هادی
گروه آمار، دانشگاه فردوسی مشهد
[ 1 ] - تحلیلی از برآوردگرهای اندازه وابستگی دمی بالا
در این مقاله سه نوع برآوردگر جدید به روش ناپارامتری برای اندازه وابستگی دمی بالا به دست آورده و نشان داده می شود که برآوردگرهایی سازگار و به طور مجانبی نااریب هستند. سپس با شبیه سازی مونت کارلو از سه مفصل متفاوت، این سه برآوردگر با هم مقایسه شده و با به کارگیری داده های واقعی روشی جدید برای انتخاب بهترین برآوردگر ارائه می شود
[ 2 ] - Almost Sure Convergence of Kernel Bivariate Distribution Function Estimator under Negative Association
Let {Xn ,n=>1} be a strictly stationary sequence of negatively associated random variables, with common distribution function F. In this paper, we consider the estimation of the two-dimensional distribution function of (X1, Xk+1) for fixed $K /in N$ based on kernel type estimators. We introduce asymptotic normality and properties and moments. From these we derive the optimal bandwidth...
[ 3 ] - Strong Convergence Rates of the Product-limit Estimator for Left Truncated and Right Censored Data under Association
Non-parametric estimation of a survival function from left truncated data subject to right censoring has been extensively studied in the literature. It is commonly assumed in such studies that the lifetime variables are a sample of independent and identically distributed random variables from the target population. This assumption is often prone to failure in practical studies. For instance, wh...
[ 4 ] - Stress-Strength and Ageing Intensity Analysis via a New Bivariate Negative Gompertz-Makeham Model
In Demography and modelling mortality (or failure) data the univariate Makeham-Gompertz is well-known for its extension of exponential distribution. Here, a bivariate class of Gompertz--Makeham distribution is constructed based on random number of extremal events. Some reliability properties such as ageing intensity, stress-strength based on competing risks are given. Also dependence properties...
نویسندگان همکار