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Symmetric Approach to Intertemporal Consumption Choice and Statewise Optimization under Uncertainty
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Flexibility and Rationality of Retailing Business in Modern Tokyo’s Urban Area Expansion : 1925-1935
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Construction of Contracts and the Fundamental Theories of Contract Law, No.3
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Manifestations of the Pre-Burkean Sublime in Britain : Milton, Wren, Thornhill and Handel
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Robust Optimization for Combinatorial Optimization Problems
Get PDFMany combinatorial optimization problems arising in real-world applications do not have accurate estimates of the problem parameters when the optimization decision is taken. Stochastic programming and robust optimization are two common approaches for the solution of optimization problems under uncertainty. In this paper, we describe the common definitions of uncertainty set, as well as 3 criteria, min-max, min-max regret and min-max relative regret, to evaluate a solution. Furthermore, we present general lemmas for obtaining worst case scenarios based on a given solution.departmental bulletin pape
Bioactivity and Mechanisms of Action of Organobismuth Compounds
Get PDFMetals and metal compounds have been used in medicine for several thousand years. Bismuth is an unusual element in terms of its low toxicity and non-carcinogenic nature despite its heavy metal status. Traditionally, inorganic bismuth compounds have been widely used in medicine and veterinary practice. In particular, bismuth compounds have been used in the treatment of various microbial infections. We previously reported that bismuth compounds have anti-proliferative effects on various cancer cell lines. Bi-chlorodibenzo [c,f][1,5] thiabismocine (compound 3), one of these bismuth compounds, induced apoptotic and necrotic cell death via mitochondrial dysfunction in leukemic cells. Compound 3 also inhibited tubulin polymerization in HeLa cells. Several reports have shown that some bismuth compounds have multiple activities against cancer cells. This review summarizes reports of the activity of bismuth compounds in cancer cell lines.departmental bulletin pape
経済統計のための不完全データ解析
Get PDF成蹊大学博士（理工学）Incomplete data are ubiquitous in social sciences; as a consequence, available data are inefficient and often biased. This dissertation deals with the problem of missing data in official economic statistics. Building on the practices of the United Nations Economic Commission for Europe (UNECE), the first half of the dissertation focuses on single imputation methods. After revealing that single ratio imputation is often used for economic data in the current practices of official statistics, this study unifies the three ratio imputation models under the framework of weighted least squares and proposes a novel estimation strategy for selecting a ratio imputation model based on the magnitude of heteroskedasticity. After showing that multiple imputation is suited for public-use microdata, the latter half of the dissertation focuses on multiple imputation methods. From a new perspective, this dissertation compares the three computational algorithms for multiple imputation: Data Augmentation (DA), Fully Conditional Specification (FCS), and Expectation-Maximization with Bootstrapping (EMB). It is found that EMB is a confidence proper multiple imputation algorithm without between-imputation iterations, meaning that EMB is more user-friendly than DA and FCS. Based on these findings, the current study proposes a novel application of the EMB algorithm to ratio imputation in order to create multiple ratio imputation, the new multiple imputation version of ratio imputation, providing brand-new software MrImputation implemented in R. Combining all of these findings, this dissertation will be an important addition to the literature of missing data analysis and official economic statistics.doctoral thesi
