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Brazilian network of PhDs working with probability and statistics

BRAZILIAN JOURNAL OF probability and statistics 2018年第4期32卷 755-782页

作者： Digiampietri, Luciano Rego, Leandro de Souza, Filipe Costa Ospina, Raydonal Mena-Chalco, Jesus Univ Sao Paulo EACH Av Arlindo Bettio 1000 Ermelino Matarazzo BR-03828000 Sao Paulo SP Brazil Univ Fed Ceara Dept Estat & Matemat Aplicada Av Univ 2853 Benf BR-60020180 Fortaleza Ceara Brazil Univ Fed Pernambuco Dept Ciencias Atuariais Cidade Univ BR-50740540 Recife PE Brazil Univ Fed Pernambuco Dept Estat CAST Lab Cidade Univ BR-50740540 Recife PE Brazil Univ Fed ABC Ctr Matemat Computac & Cogn Av Estados 5001 BR-09210580 Santo Andre SP Brazil

Statistical and probabilistic reasoning enlightens our judgments about uncertainty and the chance or beliefs on the occurrence of random events in everyday life. Therefore, there are scientists working with probability and statistics in various fields of knowledge, what favors the formation of scientific network collaborations of researchers with different backgrounds. Here, we propose to describe the Brazilian PhDs who work with probability and statistics. In particular, we analyze national and states collaboration networks of such researchers by calculating different metrics. We show that there is a greater concentration of nodes in and around the cites which host probability and statistics graduate programs. Moreover, the states that host P&S Doctoral programs are the most central. We also observe a disparity in the size of the states networks. The clustering coefficient of the national network suggests that this network and regional differences especially with respect to states from South-east and North is not cohesive and, probably, it is in a maturing stage.

关键词： Academic collaboration CNPq's productivity research fellows probability and statistics social network analysis

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Pedagogical utilization and assessment of the statistic online computational resource in introductory probability and statistics courses

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COMPUTERS & EDUCATION 2008年第1期50卷 284-300页

作者： Dinov, No D. Sanchez, Juana Christou, Nicolas Univ Calif Los Angeles Dept Stat Los Angeles CA 90095 USA Univ Calif Los Angeles Ctr Computat Biol Los Angeles CA 90095 USA

Technology-based instruction represents a new recent pedagogical paradigm that is rooted in the realization that new generations are much more comfortable with, and excited about, new technologies. The rapid technological advancement over the past decade has fueled an enormous demand for the integration of modern networking, informational and computational tools with classical pedagogical instruments. Consequently, teaching with technology typically involves utilizing a variety of IT and multimedia resources for online learning, course management, electronic course materials, and novel tools of communication, engagement, experimental, critical thinking, and assessment. The NSF-funded statistics Online Computational Resource (SOCR) provides a number of interactive tools for enhancing instruction in various undergraduate and graduate courses in probability and statistics. These resources include online instructional materials, statistical calculators, interactive graphical user interfaces, computational and simulation applets, tools for data analysis and visualization. The tools provided as part of SOCR include conceptual simulations and statistical computing interfaces, which are designed to bridge between the introductory and the more advanced computational and applied probability and statistics courses. In this manuscript, we describe our designs for utilizing SOCR technology in instruction in a recent study. In addition, present the results of the effectiveness of using SOCR tools at two different course intensity levels on three outcome measures: exam scores, student satisfaction and choice of technology to complete assignments. Learning styles assessment was completed at baseline. We have used three very different designs for three different undergraduate classes. Each course included a treatment group, using the SOCR resources, and a control group, using classical instruction techniques. Our findings include marginal effects of the SOCR treatment per individual

关键词： education research teaching with technology java applets online course materials probability and statistics

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An improved Stoilov algorithm based on probability and statistics

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OPTIK 2015年第23期126卷 3598-3600页

作者： Xiao, Longfei Li, Jinlong Gao, Xiaorong Wang, Zeyong Luo, Lin Southwest Jiaotong Univ Sch Phys Sci & Technol Photoelect Engn Inst Chengdu 610031 Sichuan Peoples R China

In phase measuring profilometry (PMP), Stoilov is a popular algorithm with satisfied effect. But Stoilov algorithm relies too much on gray level information of fringes. Meanwhile, in the phase calculation, the light intensity subtraction, division or roots extraction will cause some singular phenomena, such as making the numerator or denominator zero in some positions or making roots plural, etc. This would lead to meaningless or large error in phase unwrapping, which might cause the reconstruction distorted or even unable to reconstruct. This paper proposes an improved Stoilov algorithm based on probability and statistics. Suppose that the probability of real data is the highest, we choose the cosine square matrix value of phase shift for processing. After ruling out the singular points of large error, we get the closest value to true phase shift using the method of probability and statistics. Experimental results show that this method can effectively restrain singular phenomenon, and can ensure the accuracy of PMP. (C) 2015 Elsevier GmbH. All rights reserved.

关键词： Phase measuring profilometry Stoilov algorithm probability and statistics 3D reconstruction

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Teaching probability and statistics in a First-Year Engineering Course

Teaching Probability and Statistics in a First-Year Engineer...

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IEEE Frontiers in Education Conference 2008

作者： Johnson, Eric Engerer, Barbara Leitch, Kenneth Tougaw, Douglas Valparaiso Univ Valparaiso IN USA

ISBN: (纸本)9781424419692

Teaching probability and statistics to undergraduate engineering students is a challenge because of the theoretical nature of the topic. There are many advantages to introducing this topic to first-year students. Students who have seen and worked with topics in probability and statistics are more likely to understand these principles when they are used in later courses, and they more clearly understand the relationship of statistics to their disciplinary coursework. In this paper we describe how probability and statistics can be introduced within a first-semester engineering course. A modular approach was used, which included a lecture with a number of active learning exercises, a homework assignment, and a hands-on experiment to help them better understand the theoretical background. Assessment results illustrate that after the module, the students believed they could meet all of the module's learning objectives and that each of the learning opportunities contributed to their achievement of the objectives.

关键词： First-Year Programs probability and statistics Active Learning Multidisciplinary

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Applications of probability and statistics in cancer genomics

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Quantitative Biology 2020年第2期8卷 95-108页

作者： Xiaotu Ma Sasi Arunachalam Yanling Liu Department of Computational Biology and Cancer Biology ProgramComprehensive Cancer CenterSt Jude Children's Research HospitalMemphisTN 38105USA

Background:The past decade has witnessed a rapid progress in our understanding of the genetics of cancer and its *** and statistical modeling played a pivotal role in the discovery of general patterns from cancer genomics datasets and continue to be of central importance for personalized ***:In this review we introduce cancer genomics from a probabilistic and statistical *** start from(1)functional classification of genes into oncogenes and tumor suppressor genes,then(2)demonstrate the importance of comprehensive analysis of different mutation types for individual cancer genomes,followed by(3)tumor purity analysis,which in turn leads to(4)the concept of ploidy and clonality,that is next connected to(5)tumor evolution under treatment pressure,which yields insights into cancer drug *** also discuss future challenges including the non-coding genomic regions,integrative analysis of genomics and epigenomics,as well as early cancer ***:We believe probabilistic and statistical modeling will continue to play important roles for novel discoveries in the field o f cancer genomics and personalized medicine.

关键词： cancer genomics sequence analysis probability and statistics

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An Algorithm for Narrow-band Interference Suppression in CDMA Communication System Based on probability and statistics Search

An Algorithm for Narrow-band Interference Suppression in CDM...

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International Conference on Information Technology and Applications (ITA)

作者： Lv, Wenjun Xi, Xiaoli Du, Yongxing Xian Univ Technol Fac Automat & Informat Engn Xian Peoples R China

ISBN: (纸本)9781479928767

CDMA communication system has a certain anti-interference performance, but when the interference is stronger, the performance and stability of system will descend obviously. In this paper, narrow-band interference suppression based on FFT transform is adopted to improving anti-interference performance of CDMA communication systems significantly. probability and statistics search for interference signal is used in frequency domain, which increases the stability of anti-interference. This paper describes Matlab simulation and FPGA implementation of the algorithm. Hardware experiments show that the algorithm can improve the performance of narrow-band interference suppression for the ordinary CDMA mobile phone about 25dB.

关键词： narrow-band interference suppression CDMA probability and statistics

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Computer-assisted instruction in probability and statistics

Computer-assisted instruction in probability and statistics

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1st International Symposium on Information Technologies and Applications in Education (ISITAE 2007)

作者： Zhang, Sumei Xian Univ Post & Telecommun Dept Math & Phys Xian Peoples R China

ISBN: (纸本)9781424413850

Because of some traditional modes of teaching, our understanding for Computer-Assisted Instruction (CAI) in probability and statistics appears narrow, making application of CAI in probability and statistics superficial. Four aspects of CAI in probability and statistics are researched mainly to reform traditional teaching and enhance teaching quality and effect of probability and statistics. Firstly, the paper defines traditional teaching of probability and statistics. Secondly, the paper addresses some skills of doing multimedia courseware of probability and statistics. Thirdly the paper considers application and development of statistical software of CAI in probability and statistics. At last, the paper stresses the leading role of teacher in CAI.

关键词： CAI multimedia courseware probability and statistics statistical software

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Regression & Correlation Analysis of Higher Mathematics on probability and statistics

Regression & Correlation Analysis of Higher Mathematics on P...

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International Conference on Mechatronics Engineering and Computing Technology (ICMECT)

作者： Yang, Jingmei Hebei Univ Sci & Technol Sch Sci Shijiazhuang Peoples R China

ISBN: (纸本)9783038351153

Higher mathematics and probability and statistics are the core course in university, There is a close relation between the two. By comparison and analysis of the scores of the two courses, this paper attempts to show that higher math scores on the impact of probability and statistics, Higher mathematics X is in linear relationship with probability and statistics Y, The coefficients for the two is r=0.541. the correlativity between higher mathematics and probability and statistics has been investigated by regression analysis, the regression equation between the two is obtained, therefore the quantitative analysis can be carried out. Conclusion: There is a good linear correlation between higher mathematics scores and probability and statistics scores. Description the quality of higher mathematics achievements on the impact of probability and statistics can not be ignored, for the construction of Higher mathematics courses provide a strong basis.

关键词： Higher Mathematics probability and statistics Regression Analysis Correlation

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Research on SPSS' Application in probability and statistics Course with Principal Components Analysis

Research on SPSS' Application in Probability and Statistics ...

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2nd International Conference on Information Computing and Applications

作者： Yang, Yafeng Yuan, Shujuan Feng, Li Hebei United Univ Qinggong Coll Tangshan 063000 Peoples R China

ISBN: (纸本)9783642275029

With the growing popularity of information technology, statistical software application of statistical knowledge has become the main tool to solve practical problems. Therefore, statistical software, teaching oriented model has become the modern "probability and statistics" teaching trends. This paper describes an example principal component analysis in SPSS software application of probability and statistics courses.

关键词： SPSS Principal Components Analysis probability and statistics

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Modernizing probability and statistics Engineering Curricula 44

Modernizing Probability and Statistics Engineering Curricula

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IEEE Frontiers in Education Conference (FIE)

作者： Rowland, James R. Univ Kansas Lawrence KS 66045 USA

ISBN: (纸本)9781479939220

This Work-in-Progress paper describes an ongoing project for modernizing the probability and statistics program component for electrical and computer engineering majors at the University of Kansas. Traditionally in engineering curricula around the nation, this three-hour senior-level course has at most focused on the probability of overlapping events, properties and examples of discrete and continuous random variables, and only rudimentary statistical principles involving confidence intervals, hypothesis testing, and linear least-squares curve fitting. Some courses nationwide emphasize only probability and random variables, some focus only on the statistical aspects of data handling, and a few also include small projects that feature computer-generated pseudo-random numbers. ABET has program criteria that require graduates to have some knowledge of probability and statistics. Usually, programs seek to satisfy this requirement by one of these single self-contained three-hour courses. What is needed to modernize the curricula is a more comprehensive treatment that not only improves the course and extends these concepts beyond into the senior capstone and other courses but also prepares graduates for more extensive probability and statistics applications after graduation.

关键词： probability and statistics modernizing curricula transformations of random variables real random data statistical principles vignettes and case studies

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