A study is conducted to determine the sensitivity of 2 topologically distinct metamodel types to variations in the experimental design brought about by sequential adaptive sampling strategies. The study focuses on examples encountered in crashworthiness design. Three sampling strategies are considered for updating the experimental designs, namely (i) a single stage approach, (ii) a sequential a...

Striacosta albicosta (Smith) (Lepidoptera: Noctuidae), is a native pest of dry beans (Phaseolus vulgaris L.) and corn (Zea mays L.). As a result of larval feeding damage on corn ears, S. albicosta has a narrow treatment window; thus, early detection of the pest in the field is essential, and egg mass sampling has become a popular monitoring tool. Three action thresholds for field and sweet corn...

In this paper we pose the question: After gathering N data points, at what value of the control parameter should the next measurement be done? We propose an on-line algorithm which samples optimally by maximizing the gain in information on the parameters to be measured. We show analytically that the information gain is maximum for those potential measurements whose outcome is most unpredictable...

This study aims to determine the relationship between breast self-examination (BSE) and stage of cancer at RSUP Dr. M. Djamil Padang in 2020. The method used is a mixed-method with Sequential Explanatory Design. Sampling technique using Consecutive Sampling. Quantitative data was obtained through questionnaires qualitative interviews. results showed that number respondents who were not good 64 ...

To evaluate the possible effect of sampling technique and sequential sampling on gingival crevicular fluid (GCF) volume and myeloperoxidase (MPO) activity, 14 patients presenting at least two symmetrical maxillary sites with mild/moderate periodontitis were selected. Two sites in each individual were sequentially sampled using either the deep-intracrevicular or orifice technique. Spectrophotome...

We describe results from an algorithm for optimizing a decision-theoretic approach to the design of screening trials, where the goal is to identify promising candidates for future study. Using a highly flexible cost structure, the algorithm can optimize a variety of decision and experimental costs. The designs produced can range from a single stage through to fully sequential, depending on the ...

We describe two sequential sampling procedures for Bernoulli subset selection which were shown to exhibit desirable behavior for large-sample problems. These procedures have identical performance characteristics in terms of the number of observations taken from any one of the populations under investigation, but one of the procedures employs one-at-a-time sampling while the other allows observa...

Separating confirmatory and exploratory analyses is vital for ensuring the credibility of research results. Here, we present a two-stage Bayesian sequential procedure that combines maximum freedom in first stage with strictly regimen second stage. It allows flexible sampling schemes statistically coherent carry-over information from to We believe this will facilitate preregistration as well for...

We provide a short overview of Importance Sampling – a popular sampling tool used for Monte Carlo computing. We discuss its mathematical foundation and properties that determine its accuracy in Monte Carlo approximations. We review the fundamental developments in designing efficient IS for practical use. This includes parametric approximation with optimization based adaptation, sequential sampl...