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Statistical Design of Sequential Decision Making Algorithms
2022Sequential decision-making is a fundamental class of problem that motivates algorithm designs of online machine learning and reinforcement learning. Arguably, the resulting online algorithms have supported modern online service industries for their data-driven real-time automated decision making.
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Optimal Design of Reliability Acceptance Sampling Plan Based on Sequential Order Statistics
Stochastics and Quality Control, 2019Abstract The concept of sequential order statistics were introduced by Kamps in 1995. In this article, we derive an acceptance sampling plan, for units having exponentially distributed lifetime, using sequential order statistics. Based on data obtained from progressive type II censoring using constant stress accelerated life tests, we ...
Kumar, Mahesh, Ramyamol, P. C.
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Journal of Biopharmaceutical Statistics, 2023
Sequential, multiple assignment, randomized trial (SMART) designs are appropriate for comparing adaptive treatment interventions, in which intermediate outcomes (called tailoring variables) guide subsequent treatment decisions for individual patients. Within a SMART design, patients may be re-randomized to subsequent treatments following the outcomes ...
Sasha, Kravets +4 more
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Sequential, multiple assignment, randomized trial (SMART) designs are appropriate for comparing adaptive treatment interventions, in which intermediate outcomes (called tailoring variables) guide subsequent treatment decisions for individual patients. Within a SMART design, patients may be re-randomized to subsequent treatments following the outcomes ...
Sasha, Kravets +4 more
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Sequential statistical design strategy in a kinetic study of propylene oxidation
The Canadian Journal of Chemical Engineering, 1989AbstractA sequential design strategy was used to direct an experimental kinetic study of propylene oxidation over bismuth molybdate. Two statistical criteria were used to design experiments. The first is a joint criterion for the dual problem of model discrimination and parameter estimation which was proposed by Hill et al.
H. S. Tan, D. W. Bacon, J. Downie
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Method of sequential estimation of statistical distribution parameters in control systems design
2014 IEEE 3rd International Conference on Methods and Systems of Navigation and Motion Control (MSNMC), 2014The paper presents one method of sequential parameter estimation of probability distribution. Equations for theoretical probability distribution function, mathematical expectation and variance of estimates and observation duration are given in the article.
Olexander Solomentsev, Maksym Zaliskyi
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Journal of Quality Technology, 2019
Nanotechnology is an era-defining breakthrough across science and engineering. For example, one-dimensional nanostructures such as nanowires, nanotubes, and nanobelts are widely regarded as critical building blocks for creating the next generation of devices in electronics, optics, energy, and biomedicine. Motivated by a practical problem of sequential
Xu Xu +5 more
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Nanotechnology is an era-defining breakthrough across science and engineering. For example, one-dimensional nanostructures such as nanowires, nanotubes, and nanobelts are widely regarded as critical building blocks for creating the next generation of devices in electronics, optics, energy, and biomedicine. Motivated by a practical problem of sequential
Xu Xu +5 more
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2018 22nd International Microwave and Radar Conference (MIKON), 2018
In the paper, reliable yield estimation and tolerance-aware design optimization of circular polarization (CP) antennas is discussed. We exploit auxiliary kriging interpolation models established in the vicinity of the nominal design in order to speed up the process of statistical analysis of the antenna structure at hand.
Slawomir Koziel, Adrian Bekasiewicz
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In the paper, reliable yield estimation and tolerance-aware design optimization of circular polarization (CP) antennas is discussed. We exploit auxiliary kriging interpolation models established in the vicinity of the nominal design in order to speed up the process of statistical analysis of the antenna structure at hand.
Slawomir Koziel, Adrian Bekasiewicz
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Statistical robust design of a complex system through a sequential approach
Journal of Engineering Design, 2005This paper presents a new robust design approach for a complex system that has multiple candidate scopes of robustness enhancement. This approach captures the robust design project for the system as a sequence of investments under uncertainty, and enhances its economic performance by properly choosing the scopes in which experiment-based robustness ...
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Statistical Inference after an Adaptive Group Sequential Design: A Case Study
Drug Information Journal, 2010The adaptive group sequential design of Lehmacher and Wassmer allows fully flexible redetermination of sample size after each of a predetermined number of interim looks. Study 02CLLIII, a large, randomized, multicenter trial in chronic lymphocytic leukemia, was based on this approach, with five planned analyses. The study terminated for efficacy at the
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Applied Biochemistry and Biotechnology, 2006
The production of recombinant anti-HIV peptide, T-20, in Escherichia coli was optimized by statistical experimental designs (successive designs with multifactors) such as 2(4-1) fractional factorial, 2(3) full factorial, and 2(2) rotational central composite design in order.
Lee, KM Kwang-Min Lee +3 more
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The production of recombinant anti-HIV peptide, T-20, in Escherichia coli was optimized by statistical experimental designs (successive designs with multifactors) such as 2(4-1) fractional factorial, 2(3) full factorial, and 2(2) rotational central composite design in order.
Lee, KM Kwang-Min Lee +3 more
openaire +3 more sources