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CONTRIBUTIONS IN SEQUENTIAL ANALYSISSmith, Robert Paul, 1942- January 1971 (has links)
No description available.
Integrated empirical models based on a sequential research strategy /Han, Sung Ho. January 1991 (has links)
Thesis (Ph. D.)--Virginia Polytechnic Institute and State University, 1991. / Vita. Abstract. Includes bibliographical references (leaves 183-192). Also available via the Internet.
The design of sequential experimentsWei, Lee-jen, January 1975 (has links)
Thesis (Ph. D.)--University of Wisconsin--Madison, 1975. / Typescript. Vita. Includes bibliographical references (leaves [116-117]).
Geometric approaches to solving sequencing problemsNorback, John P. January 1978 (has links)
Thesis--Wisconsin. / Vita. Includes bibliographical references (leaves 148-150).
Qualitative and quantitative sequential samplingRai, Rahul 29 August 2008 (has links)
An analysis of the system effectiveness of a sequential manpower training modelGrieshop, David Strother 05 1900 (has links)
No description available.
Spectrum Sensing of Multiple Channels Using Multiple SensorsLIANG, CHE KANG 21 November 2011 (has links)
Cognitive radio (CR) is a class of wireless communication technologies that have the ability to learn from the surrounding radio environment and the intelligence to adapt communication resources to enhance quality of service. The problem of acquiring information from a CR's radio environment is called spectrum sensing, which can take on many forms. In particular, this thesis concerns the determination of whether a spectrum band (or channel) is in a busy or idle state. The binary nature of a channels availability means that spectrum sensing can be cast as a hypothesis testing problem. While an abundant literature exists on spectrum sensing as a signal detection problem, this thesis treats spectrum sensing differently, and features the following elements: 1) the system is equipped with an arbitrary number of sensors; 2) sensing is performed over multiple channels; 3) each channels availability is modelled by random periods of busy and idle times corresponding to packet transmission; and 4) the optimization criteria minimizes detection delay subject to a reliability constraint. A related spectrum sensing problem formulation based on the use of a single sensor has been proposed in the recent literature. The previous research employs an optimization framework based on modeling channel uses as an on-off process via partially observable Markov decision processes (POMDP). This thesis generalizes previous results from single-sensor to multiple-sensor spectrum sensing, i.e., detecting idle periods with multiple sensors. In addition, an alternative reduced-complexity algorithm is proposed. For both proposed detectors, the performances are evaluated based on Monte Carlo simulation with calculated confidence intervals, and the results show that 1) adding sensors generally improves the system performance by reducing detection delay (improved agility); 2) the application of previously existing quickest detection methods result in error floors complicating test design. Finally, performance assessment using a channel model derived experimentally from the wireless local area network (WLAN) traffic is conducted and compared to that obtained using a geometrically-distributed channel traffic model. / Thesis (Master, Electrical & Computer Engineering) -- Queen's University, 2011-11-17 10:35:56.751
Qualitative and quantitative sequential samplingRai, Rahul, January 1900 (has links) (PDF)
Thesis (Ph. D.)--University of Texas at Austin, 2006. / Vita. Includes bibliographical references.
Sequential multiple comparison testing for budget-limited applications /Gonen, Ofer. January 2004 (has links) (PDF)
Thesis (M.S. in Operations Research)--Naval Postgraduate School, Dec. 2004. / Thesis Advisor(s): Robert A. Koyak. Includes bibliographical references (p. 49). Also available online.
The Sj-test against linear trendShuhany, Elizabeth January 1959 (has links)
Thesis (Ph.D.)--Boston University / The Sj-test proposed by Noether  is a sequential test of the hypothesis of randomness against the alternative of linear trend, which can be expressed as the hypothesis that the joint distribution of xl, x2, •••, Xn is given by F(x1, x2,...,xn) = F(x1 + i0) [TRUNCATED]
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