Dawn C. Porter

Last updated

Dawn Cheree Porter is an American expert on business statistics, business analytics, and econometrics, known for her textbooks on these subjects. She is professor of clinical data sciences and operations management in the USC Marshall School of Business, where she directs the master's degree program in business analytics and holds the Fubon Teaching Chair in Business Administration.

Contents

Education and career

Porter majored in mathematics at Cornell University, and then went to the New York University Stern School of Business for a master's degree and Ph.D. in statistics. [1]

She worked as an assistant professor at Georgetown University from 2001 to 2006, before moving to the University of Southern California, as assistant professor of clinical data sciences in the USC Marshall School of Business. She was promoted to associate professor in 2011 and full professor in 2017. She has directed the master's program in business analytics under different names since 2013. [1] At USC, she holds the Fubon Teaching Chair in Business Administration. She was recognized by a Marshall Teaching Excellence Award in 2023. [2]

Books

Porter is a coauthor or major contributor to textbooks including:

Related Research Articles

Data Resources Inc or DRI was co-founded in 1969 by Donald Marron and Otto Eckstein. Marron is best known as the former CEO of PaineWebber and founder of Lightyear Capital. Eckstein was a Harvard University economics professor, economic consultant to Lyndon Baines Johnson and member of the Council of Economic Advisors; he is best known for the development of the theory of core inflation.

<span class="mw-page-title-main">Robert C. Solomon</span> American philosopher

Robert C. Solomon was a philosopher and business ethicist, notable author, and "Distinguished Teaching Professor of Business and Philosophy" at the University of Texas at Austin, where he held a named chair and taught for more than 30 years, authoring The Passions: Emotions and the Meaning of Life (1976) and more than 45 other books and editions. Critical of the narrow focus of Anglo-American analytic philosophy, which he thought denied human nature and abdicated the important questions of life, he instead wrote analytically in response to the continental discourses of phenomenology and existentialism, on sex and love, on business ethics, and on other topics to which he brought an Aristotelian perspective on virtue ethics. He also wrote A Short History of Philosophy and others with his wife, Professor Kathleen Higgins.

The USC Marshall School of Business is the business school of the University of Southern California. It is accredited by the Association to Advance Collegiate Schools of Business.

Cross-sectional data, or a cross section of a study population, in statistics and econometrics, is a type of data collected by observing many subjects at the one point or period of time. The analysis might also have no regard to differences in time. Analysis of cross-sectional data usually consists of comparing the differences among selected subjects.

<span class="mw-page-title-main">Gordon Guyatt</span> Canadian physician

Gordon Henry Guyatt is a Canadian physician who is Distinguished University Professor in the Departments of Health Research Methods, Evidence and Impact and Medicine at McMaster University in Hamilton, Ontario. He is known for his leadership in evidence-based medicine, a term that first appeared in a single-author paper he published in 1991. Subsequently, a 1992 JAMA article that Guyatt led proved instrumental in bringing the concept of evidence-based medicine to the world's attention.[2] In 2007, The BMJ launched an international election for the most important contributions to healthcare. Evidence-based medicine came 7th, ahead of the computer and medical imaging. [3][4] Guyatt's concerns with the role of the medical system, social justice, and medical reform remain central issues that he promoted in tandem with his medical work. On October 9, 2015, he was named to the Canadian Medical Hall of Fame.

Nick Brune, is a Canadian educator, historian, and author.

In statistics, model specification is part of the process of building a statistical model: specification consists of selecting an appropriate functional form for the model and choosing which variables to include. For example, given personal income together with years of schooling and on-the-job experience , we might specify a functional relationship as follows:

A log-linear model is a mathematical model that takes the form of a function whose logarithm equals a linear combination of the parameters of the model, which makes it possible to apply linear regression. That is, it has the general form

<span class="mw-page-title-main">Frank T. Rothaermel</span> American academic

Frank T. Rothaermel is a professor in the Scheller College of Business at the Georgia Institute of Technology and an Alfred P. Sloan Industry Studies Fellow. He holds the Russell and Nancy McDonough Chair of Business.

<span class="mw-page-title-main">Ron Larson</span> American mathematician

Roland "Ron" Edwin Larson is a professor of mathematics at Penn State Erie, The Behrend College, Pennsylvania. He is best known for being the author of a series of widely used mathematics textbooks ranging from middle school through the second year of college.

Damodar N. Gujarati is a professor of economics at the United States Military Academy at West Point, and author/co-author of the Basic Econometrics textbook, among others. The textbook has been published in 5 editions over the last 21 years, and translated into French, Spanish, Portuguese, Korean, Chinese, Turkish, and Persian.

Julia R. Burdge is an American chemistry professor and author. She became notable for using a pragmatic approach to teaching chemistry in her books, giving emphasis to the applications of chemistry rather than the theory. Burdge has won several awards and recognitions throughout the years in her career as a chemistry professor.

In econometrics, the Park test is a test for heteroscedasticity. The test is based on the method proposed by Rolla Edward Park for estimating linear regression parameters in the presence of heteroscedastic error terms.

Samuel D. Hodge, Jr. is an American professor, author, and public speaker with a specialty involving the intersection of law and medicine. He teaches law, anatomy, and forensics at Temple University and serves as a mediator and neutral arbitrator for the Dispute Resolution Institute.

Catherine Ann Sugar is an American biostatistician at the University of California, Los Angeles, where she is Professor in Residence in the Departments of Biostatistics, Statistics and Psychiatry and director of the biostatistics core for the Semel Institute for Neuroscience and Human Behavior. Her research concerns cluster analysis, covariance, and the applications of statistics in medicine and psychiatry.

Jerry Richard Green is the John Leverett Professor in the University and the David A. Wells Professor of Political Economy at Harvard University. He is known for his research in economic theory, as well as writing the most commonly used microeconomic theory textbook for graduate school with Andreu Mas-Colell and Michael Whinston, Microeconomic Theory.

Maria-Pia Victoria-Feser is a Swiss statistician who develops methods for statistical inference with applications to research fields ranging from social, economics (econometrics) to experimental sciences (biostatistics). She is a professor in the Geneva School of Economics and Management, part of the University of Geneva, and was the founding dean of the school.

Yingying Fan is a Chinese-American statistician and Centennial Chair in Business Administration and Professor in Data Sciences and Operations Department of the Marshall School of Business at the University of Southern California. She also holds joint appointments at the USC Dana and David Dornsife College of Letters, Arts and Sciences, and Keck Medicine of USC. Her contributions to statistics and data science were recognized by the Royal Statistical Society Guy Medal in Bronze in 2017 and the Institute of Mathematical Statistics Medallion Lecture in 2023. She was elected Fellow of American Statistical Association in 2019 and Fellow of Institute of Mathematical Statistics "for seminal contributions to high-dimensional inference, variable selection, classification, networks, and nonparametric methodology, particularly in the field of financial econometrics, and for conscientious professional service" in 2020.

<span class="mw-page-title-main">Homoscedasticity and heteroscedasticity</span> Statistical property

In statistics, a sequence of random variables is homoscedastic if all its random variables have the same finite variance; this is also known as homogeneity of variance. The complementary notion is called heteroscedasticity, also known as heterogeneity of variance. The spellings homoskedasticity and heteroskedasticity are also frequently used. Assuming a variable is homoscedastic when in reality it is heteroscedastic results in unbiased but inefficient point estimates and in biased estimates of standard errors, and may result in overestimating the goodness of fit as measured by the Pearson coefficient.

References

  1. 1 2 Curriculum vitae (PDF), University of Southern California, retrieved 2022-11-06
  2. Patterson, Catherine (June 29, 2023), Marshall Faculty Recognized for Teaching Excellence, USC Marshall School of Business, retrieved 2023-07-07
  3. 1 2 Martinek, Wendy L. (March 2017), "A review of textbooks for teaching graduate research methods", PS: Political Science & Politics, 50 (02): 554–558, doi:10.1017/s1049096516003188
  4. Rendón, Hernando (2012), "Review of Basic Econometrics, 5th edition", Ensayos de Economía, 22 (41)
  5. Klein, Christopher C. (July 2013), "Econometrics as a capstone course in economics", The Journal of Economic Education, 44 (3): 268–276, doi:10.1080/00220485.2013.795460, JSTOR   41999274