هدف: این پژوهش با هدف آزمون مدل روابط بین سبک‌های مقابله و خودکارآمدی حرفه‌ای استرس ادراک شده ناشی از حرفه‌های سلامت در گروهی پرستاران انجام شد. روش: همبستگی، 151 نفر شاغل بخش‌های اونکولوژی دانشگاه علوم پزشکی تهران به پرسشنامه باورهای شغلی برای (پیسانتی، لامباردو، لوسیدی، لازاری برتینی، 2008)، نسخة کوتاه سیاهه موقعیت‌های استرس‌زا (کوهن، جانگ استین، 2006) (ولفگانگ، 1988) پاسخ دادند. مفروض روش آم...

results slow and fast-growing groups of the mycobacterium strains were clearly differentiated based on the constructed tree of 56 common mycobacterium isolates. each species with a unique title in the tree was identified; in total, 13 nods with a bootstrap value of over 50% were supported. among the slow-growing group was mycobacterium kansasii, with m. tuberculosis in a cluster with a bootstra...

I propose a nonparametric iid bootstrap that achieves asymptotic refinements for t tests and confidence intervals based on the generalized method of moments (GMM) estimators even when the model is misspecified. In addition, my bootstrap does not require recentering the bootstrap moment function, which has been considered as a critical procedure for bootstrapping GMM. The elimination of the rece...

We study the bootstrap estimator of the sampling distribution of a given statistic in some nonregular cases where the given statistic is nonsmooth or not-so-smooth. It is found that the ordinary bootstrap, based on a bootstrap sample of the same size as the original data set, produces an inconsistent bootstrap estimator. On the other hand, when we draw a bootstrap sample of a smaller size with ...

We propose a generalization of the wild bootstrap of Wu (1986) and Liu (1988) based upon perturbing the scores of M-estimators. This “score bootstrap” procedure avoids recomputing the estimator in each bootstrap iteration, making it substantially less costly to compute than the conventional nonparametric bootstrap, particularly in complex nonlinear models. Despite this computational advantage, ...

The bootstrap is a popular and powerful method for assessing precision of estimators and inferential methods. However, for massive datasets which are increasingly prevalent, the bootstrap becomes prohibitively costly in computation and its feasibility is questionable even with modern parallel computing platforms. Recently Kleiner, Talwalkar, Sarkar, and Jordan (2014) proposed a method called BL...

The true probability distribution of a test statistic is rarely known. Generally, its asymptotic law is used as approximation of the true law. If the sample size is not large enough, the asymptotic behavior of that statistic could lead to a poor approximation of the true one. Using bootstrap methods, under some regularity conditions, it is possible to obtain a more accurate approximation of the...

هدف: هدف این پژوهش مقایسه اثربخشی امیددرمانی و معنویت درمانی بر کیفیت زندگی، قند خون فشار زنان میانسال مبتلا به دیابت نوع دو بود. روش: حاضر نیمه آزمایشی با طرح پیش آزمون- پس پیگیری گروه گواه جامعه آماری شامل تمام 2 مراجعه کننده مرکز تحقیقات دیابت، متابولیسم غدد شهر تهران در سال 1399 بودند که ‏45 نفر شیوه نمونه‌گیری دسترس انتخاب صورت تصادفی آزمایش یک (هر 15 نفر) قرار گرفتند. ابزار پرسشنامه کوتاه...

In this paper, we examine the validity of non-parametric spatial bootstrap as a procedure to quantify errors in estimates of N -point correlation functions. We do this by means of a small simulation study with simple point process models and estimating the two-point correlation functions and their errors. The coverage of confidence intervals obtained using bootstrap is compared with those obtai...

This paper proposes a misspecification-robust iid bootstrap for the generalized method of moment estimators and establishes asymptotic refinements of the symmetric percentile-t bootstrap confidence interval. The paper extends results of Hall and Horowitz (1996) and Andrews (2002). In particular, the proposed method does not involve recentering the moment function in implementing the bootstrap, ...