Please provide your email address to receive an email when new articles are posted on . Sampling strategies that exclude participants who would be censored can produce biased statistics, according to ...

Durbin's (1953, 1967) and Des Raj's (1968) results are generalized to show that a general class of linear homogeneous unbiased estimators for a finite population total based on arbitrary sampling ...

Learn how acceptance sampling improves quality control by evaluating random samples. Discover its methods, benefits, and historical significance in manufacturing.

Modified efficiency comparisons, which take into consideration the fact that the expected number of distinct units in a with-replacement sample need not be an integer, are made for the same expected ...

Central Limit Theorem: A sampling distribution of the mean is approximately normally distributed if the sample size is sufficiently large. This is true no matter what the population distribution is.

In a simple random sample, each individual in the population has an equal probability of being chosen. Additionally, each sample of size n has an equal probability of being the chosen sample. This ...