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"An exploration of the interrelated fields of design of experiments and sequential analysis with emphasis on the nature of theoretical statistics and how this relates to the philosophy and practice of statistics."

"The global approach to nonlinear renewal theory is integrated with the author's own local approach. Both the theory and its applications are placed in perspective by including a discussion of the linear renewal theorem and its applications to the sequential probability ratio test. Applications to repeated significance tests, to tests with power one, and to sequential estimation are also included. The monograph is self- contained for readers with a working knowledge of measure-theoretic probability and intermediate statistical theory."

"This article discusses the development of the online sequential circular extreme learning machine (OS-CELM) and structural tolerance OS-CELM (STOS-CELM). OS-CELM is developed based on the circular extreme learning machine (CELM) to enable sequential learning. It can update a new chunk of data by spending less training time to update the chunk than the batch CELM. STOS-CELM is developed based on an idea similar to that of OS-CELM, but with a Householder block exact inverse QR decomposition (QRD) recursive least squares (QRD-RLS) algorithm to allow sequential learning and mitigate the criticality of deciding the number of hidden nodes. In addition, our experiments have shown that given the same hidden node setting, STOS-CELM can deliver accuracy comparable to a batch CELM approach and also has higher accuracy than the original online sequential extreme learning machine (OS-ELM) and structural tolerance OS-ELM (STOS-ELM) in classification problems, especially those involving high dimension datasets."

"A study of sequential nonparametric methods emphasizing the unified Martingale approach to the theory, with a detailed explanation of major applications including problems arising in clinical trials, life-testing experimentation, survival analysis, classical sequential analysis and other areas of applied statistics and biostatistics."

"Analisis sekuensial adalah suatu metode statistik yang digunakan untuk melakukan pengujian hipotesis dari parameter populasi. Ukuran sampel yang digunakan dalam analisis sekuensial ini belum dapat ditentukan (not fixed). Pengambilan sampel dilakukan secara bertahap. Keputusan tentang parameter populasi didapat setelah diambil satu atau beberapa sampel. Dalam tugas akhir ini akan dipelajari analisis sekuensial dengan menggunakan statistik cukup untuk menguji selisih parameter dari dua populasi. Hipotesis yang akan diuji merupakan hipotesis majemuk. "