103 research outputs found
On the Comparison of Run Orders of Unreplicated 2 k–p Designs in the Presence of a Time Trend
No full textActive contrasts, Probability of false rejection, Probability of effect detection,
Solid Verifiable Credentials
No full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (pages 63-66).Credentials are an integral part of our lives, as they express our capabilities and enable access to restricted services and benefits. In the early 2010s, the Verifiable Claims Working Group of the World Wide Web Consortium (W3C) proposed a specification for what is now the Verifiable Credentials Data Model. This living specification, which is still in development, outlines a cogent framework for the issuance, storage, presentation, and verification of credentials on the Web. Many of the leading Verifiable Credentials projects leverage Distributed Ledger Technology (DLT), potentially compromising Web interoperability and sometimes exposing otherwise personal data. SolidVC is a decentralized Verifiable Credentials platform built with the open protocols of the Web. It is implemented on top of Solid, a Web framework developed at MIT in 2016 that allows decentralized applications to interact with personal user data to provide services in an access controlled environment.by Kayode Yadilichi Ezike.M. Eng.M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienc
On the Comparison of Run Orders of Unreplicated 2k-p-designs in the presence of a time-trend
No full textThe response from a factorial experiment carried out in a time sequence may be affected by uncontrollable variables that are highly correlated with the time in which they occur. In such a situation, one possibility is to randomize the run order of the experiment. Another possibility is to use a systematic run order that is robust against time-trends. Since randomized run orders make the time trend part of the error, it can be hoped that systematic run orders will be more effective to identify truly active factors. In this paper, a imulation study is used to compare the performances of the randomized and the systematic run orders. The response from an experiment where we have observed a strong time-trend is used to demonstrate the influence of a realistic time trend on the run orders under consideration. The performance of the run orders is then measured by taking the probabilities of false rejection and the probabilities of detection of active contrasts. Our results show that the randomized run order managed to keep the nominal level, while the systematic did not. Additionally, when there were active factors, then the systematic run orders did not achieve more power than did the randomized run order
CONJUGATION OF GENERALIZED GAMMA PRIOR WITH POISSON AND GENERALIZED POISSON LIKELIHOODS FOR DISEASE MAPPING
No full textThis article focused on the use of generalized Gamma distribution as conjugate prior with Poisson and generalized Poisson likelihoods to handle dispersion in small samples. Based on this conjugacy, Poisson-Generalized Gamma model (PGG) and Generalized Poisson-Generalized Gamma model (GPGG) are developed for Bayesian disease mapping and compared with the existing Poisson-Gamma model. The efficiency of these models was investigated using both simulated and real data applications. The deviance information criterion (DIC), dispersion test (DT), Monte Carlo error (MCE) and relative efficiency (reff) were used for comparison. All indicated that GPGG model provided the best precision and model efficiency to handle dispersion and relative risk estimation for disease mapping in small and large samples under uncontaminated and contaminated data. Thus, GPGG and PGG models served as alternative models in providing reliable mapping of diseas
Upper Normal- CUSUM statistic for COVID-19 number of deaths.
No full textUpper Normal- CUSUM statistic for COVID-19 number of deaths.</p
Standard normal-CUSUM control chart of COVID-19 number of deaths in Nigeria.
No full textStandard normal-CUSUM control chart of COVID-19 number of deaths in Nigeria.</p
Gamma-CUSUM chart of COVID-19 number of deaths in Nigeria.
No full textGamma-CUSUM chart of COVID-19 number of deaths in Nigeria.</p
Novice teachers: the challenges, supports, and effective strategies
No full textThis study used survey research to investigate the challenges novice teachers experience, the support they receive, and the leadership strategies that are implemented to support them. The research was conducted in Manitoba, Canada. Quantitative methods and convenience sampling were used to explore the research questions that guided this study: What challenges do beginning teachers perceive they encounter in their first years of teaching practice? What supports do new teachers report they receive? What strategies do novice teachers perceive are the most effective in supporting them? What challenges do school principals perceive novice teachers face? What strategies do principals use to support novice teachers? A total of 41 novice teachers and 31 school principals in Manitoba, participated in this study. The majority of the novice teacher participants were female and the majority of principal respondents were male – statistics which reflect the gender demographics of teachers and principals in Canada. The areas that novice teacher participants found most challenging were differentiating instruction, planning and preparation, accessing teaching resources, working with students with Individual Education Plans (IEPs), and assessing student learning. With regard to gender, male novice teachers found differentiating instruction and organizing the classroom significantly more challenging than did their female colleagues. Beginning teachers in rural/small town areas perceived isolation and teaching multi-age classrooms to be a greater challenge than their colleagues who taught in urban/suburban schools. With regard to teaching experience, teachers with less than two years in the classroom perceived isolation to be a significantly greater challenge than colleagues with 2-3 years teaching experience. When considering school size, teachers in smaller schools with less than 200 students considered isolation to be a greater challenge than their colleagues in larger schools; however, teachers in larger schools found planning and preparation and developing collegial relations a greater challenge than those in small schools. With regard to the areas in which novice teachers reported they received most support, the areas most supported corresponded with the areas they felt to be the greatest challenges, with the exception of differentiated instruction, which was their greatest challenge, yet was not well supported. Overall, female novice teachers perceived higher levels of support than their male colleagues. Teachers in rural/small town areas felt more supported than colleagues in urban/suburban locations. Novice teachers valued support programs such as mentoring, induction, and professional development but indicated that not all these programs were available to them. Principals identified similar challenges for novice teachers as did the teacher respondents, with the exception of planning and preparation, an area that challenged beginning teachers but was perceived as less of a challenge by their principals. Principals reported greater availability of mentoring programs than did novice teachers. The recommendations for the study included specific areas for professional development and greater provision of research-based mentoring and induction programs.Includes bibliographical references (pages 110-121)."In partial fulfillment of the requirements for the degree of Master of Education.
Density and normal QQ plot of the COVID-19 number of deaths.
No full textDensity and normal QQ plot of the COVID-19 number of deaths.</p
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