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Research Communicate

REMARKS ON THE ESTIMATION OF POSITION PARAMETERS

Czesław Domański

Statistics in Transition New Series , ISSUE 3, 549–558

Article

AN ESTIMATION ALGORITHM FOR MISSING DATA IN WIRELESS SENSOR NETWORKS

For estimating the missing data of wireless sensor networks, an estimation algorithm called HD method, which can make use of sensoring space-time correlation of the data, was proposed based on mathematical Hermite and DESM statistical models. The algorithm not only can adaptively adjust the time and space weights, but also can accurately estimate the missing or unavailable data. The experimental results show that the algorithm has good stability and relatively high estimation accuracy.

Nan Yan, Ming-zheng Zhou, Li Tong

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1032–1053

Research Article

Detecting Change in Longitudinal Social Networks

Ian McCulloh, Kathleen M. Carley

Journal of Social Structure , ISSUE 1, 1–37

Article

SURVIVAL REGRESSION MODELS FOR SINGLE EVENTS AND COMPETING RISKS BASED ON PSEUDOOBSERVATIONS

Survival data is a special type of data that measures the time to an event of interest. The most important feature of survival data is the presence of censored observations. An observation is said to be right-censored if the time of the observation is, for some reason, shorter than the time to the event. If no censoring occurs in the data, standard statistical models can be used to analyse the data. Pseudo-observations can replace censored observations and thereby allow standard statistical

Ewa Wycinka, Tomasz Jurkiewicz

Statistics in Transition New Series , ISSUE 1, 171–188

Research Article

Parametric prediction of finite population total under Informative sampling and nonignorable nonresponse

the dependence of the probability of nonresponse on unobserved or missing observations. The main aim of the paper is to consider how to account for the joint effects of informative sampling designs and notmissing-at-random response mechanism in statistical models for complex survey data. For this purpose, theoretically, we use the response distribution and relationships between the moments of the superpopoulation, the sample, sample-complement, response, and nonresponse distributions for the

Abdulhakeem Eideh

Statistics in Transition New Series , ISSUE 1, 13–35

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