In this study, a simple generalization of the Lehmann-Scheffe theorem is proposed in cases where UMVUEs exist but a SUFFICIENTly COMPLETE STATISTICs does not exist. Also, another method is introduced based on the group action. In this method, UMVUE for the unknown parameter is found using  a commutative and associative binary operation.  Finally, the motivation for using the words "COMPLETEness" and "unbiasedness" is expressed in such a way that COMPLETEness and unbiasedness are not characteristic of a STATISTIC or its parametric form, but a family of distributions of a STATISTIC, and deleting even one point of the parameter space may change the COMPLETEness.

Independence of observations is a fundamental assumption in designing an X chart for individual observations. But unfortunately, the assumption of existence of independent data is not even approximately satisfied. In fact, there is one kind of autocorrelation in the data. This paper demonstrates, through simulating an AR (1) process, that the autocorrelation in the data has deep effect on X chart. Moreover, estimators of standard deviation, mean moving range and median moving range to estimate process standard deviation are introduced. Among the cited estimators, the best of them is considered to estimate process standard deviation using autocorrelated data. Finally, two new estimators are presented to estimate process standard deviation using autocorrelated data.

Background: Phototherapy is an important modality in dermatology and the number of skin diseases which can be controlled with it IS mcreasmg. In order to start treatment, the first dose of phototherapy is determined by measurement of MINIMAL erythema dose (MED) in each patient individually or according to patient"s skin type. Objective: To determine the relationship of skin type with MED in patients under UV phototherapy referred to Razi Hospital in Tehran Patients and Methods: In patients referred to Razi Hospital in 1381(2002-2003) for UVB phototherapy, skin type was determined according to Fitzpatrick"s classification and MED was measured using a UV-meter. Age, sex and the disease of the patients were also recorded. The data were analysed using one way ANOVA and Welch tests. Results: Eighty patients including 39 males and 41 females were studied. The mean age of the patients was 32 years (SD=15.8). Their diseases include psonasls, vitiligo, parapsoriasis, pityriasis lichenoides chronica, perforating disorder and patch stage mycosis fungoides. The mean of MED in 17patients with skin type Il was 111.8±39.2, in 42 patients with skin type III was 105.9±43.1 and in 21 patients with skin type IV was l14.3±39.2 mJ/cm2 , with no significant STATISTICal difference. Conclusion: The first dose of phototherapy could not be determined based on skin type and measurement of MED is necessary in each patient.

We define MINIMAL CN-dominating graph MCN (G), commonality MINIMAL CN-dominating graph CMCN (G) and vertex MINIMAL CN-dominating graph M vCN (G), characterizations are given for graph G for which the newly defined graphs are connected. Further serval new results are developed relating to these graphs.

Variance of EWMA STATISTIC is needed when control chart is used. In literatures, a relation is used for computation of this variance which is not exact. We show that this variance is less than the exact value. This paper first derives the exact variance of the EWMA STATISTIC for independent observations. Then through the comparison of this new variance and old variance, the effect of exact variance on control limits of EWMA control chart is examined.

In this work, applying a lemma due to Nunokawa et al. (J. Ineq. Appl. 2015. 1 (2015)  7), we obtain some SUFFICIENT inequalities for some certain subclasses of univalent functions.

The challenge of mobilizing knowledge to improve patient care, population health and ensure effective use of resources is an enduring one in healthcare systems across the world. This commentary reflects on an earlier paper by Ferlie and colleagues that proposes the resource-based view (RBV) of the firm as a useful theoretical lens through which to study knowledge mobilization in healthcare. Specifically, the commentary considers 3 areas that need to be addressed in relation to the proposed application of RBV: the definition of competitive advantage in healthcare; the contribution of macro level theory to understanding knowledge mobilization in healthcare; and the need to embrace and align multiple theories at the micro, meso, and macro levels of implementation.

This article is about categorization of Islamic Republic of Iran’s government. the president in Iran is the head of the government and is the executive state and it means the president is the level of execution. The head of state is the supreme leader. The present study investigates the type of policy-making according to the type of government in Iran. This categorization, by following the method of Max Weber, introduces two Ideal types of government related to civil society by the names of self-SUFFICIENT state and connection government. The purpose is to sum up the variety of discourses, performances, policies and actions of any IRI governments at a macro level orientation. Such a view can generally link up political, economic, social and cultural policy orientations according to the implications of each type of them. In these four dimensions, connection government is an elitist, modernist, deconstructive and liberal government while the self-SUFFICIENT government has populistic, traditionalist, reconstructive and egalitarian features. In conclusion, a way for achieving more integration in choosing policies has been suggested.

Radiology and imaging data of patient is the main and the most important data of the patient. Not only it shows disease of patient, but also it is included of the body geometry such as 2D and 3D. Gathering and saving of radiology images and data for different patients can be useful for future STATISTIC studies. Many questions like, how to, why, in which and etc can be answered by STATISTIC method, if we have had enough information in our hand. In this study we are going to find possibility of fracture in vertebra using STATISTIC method. Radioogle web site was prepared as an search engine to gather information, searching data and result. By this method, the result extracted and show which vertebra are about to harm in case of fracture. The result shows that L1 is the most and L2, L4, L5 and C2 are the next possible to fracture in impact and accident. Other disease of spine and hierarchy in vertebra will be futuristic discussion.