Valid, prior-free, and situation-specific probabilistic inference is desirable for serious uncertain inference, especially in bio-medical statistics. This chapter∗ introduces such an inferential system, called the Inferential Model (IM) framework, proposed recently. IMs do not require a prior to be specified, yet they produce probabilistic inferential results that have desireable frequency prop...

Linda Shields PhD, FRCNA, Professor of Nursing, University of Limerick, Ireland This is one of a series of short papers on aspects of research by Alison Twycross and Linda Shields You’ve found a piece of research that you think may be relevant to your practice but it is full of statistics and you can make neither head nor tail of them. Why do researchers bother doing statistical tests? What on ...

It is crucially important to differentiate between the descriptive statistics on one side and inferential, inductive, mathematical statistics on the other. Only the latter is useful for obtaining the optimal information and for making effective decisions under conditions of uncertainty, because it defines probabilities of conclusions. That, of course, gains the real importance only in situation...

background and objective: quality control is one of the most important components in order to improve quality assurance in laboratories during analytical steps. for this purpose, coefficient of variation plays an important role. due to the fast improvement in technology, application of inferential statistics for the comparisons of laboratory techniques, including instrument and chemicals and fa...

the purpose of this research was identifying mechanisms for the development of human resources in khouzestan sugarcane agro industrial company, iran. this is an applied study and the research method was descriptive correlative. the population consisted of employees working in the sugarcane agro industrial company in the province of khuzestan, iran(n=315). one hundred and seventy five people wer...