Abba M. Krieger

Abba M. Krieger
  • Robert Steinberg Professor Emeritus of Statistics and Data Science

Contact Information

  • office Address:

    303 Academic Research Building
    265 South 37th Street
    Philadelphia, PA 19104

Research Interests: applications in the law, operations management and marketing, applied probability, bootstrap, complex sample surveys, density estimation, grouped data, observational studies, worst case analysis of heuristics

Links: CV

Overview

Education

PhD, Harvard University, 1974
MS, Harvard University, 1973
BS, MS, Massachusetts Institute of Technology, 1972

Recent Consulting

Consultant to several major companies in the areas of data analysis, statistical methodology, mathematical modeling, and marketing research.

Career and Recent Professional Awards

Fellow, International Statistical Institute, 2015
Fellow, Institute of Mathematical Statistics, 2008
Fellow, American Statistical Association, 1992
Alpha Kappa Psi Award, Journal of Marketing, 1991
Lindback Award for Distinguished Teaching in the University of Pennsylvania
Helen Kardon Moss Anvil Award for Teaching Excellence in the Wharton MBA Program
David W. Hauck Award for Outstanding Teaching in the Wharton Undergraduate Program

Academic Positions Held

Wharton: 1974-present (Chairperson, Statistics Department, 2002-2008; named Robert Steinberg Professor, 1996).

Continue Reading

Research

Teaching

Past Courses

  • STAT1010 - Intro Business Stat

    Data summaries and descriptive statistics; introduction to a statistical computer package; Probability: distributions, expectation, variance, covariance, portfolios, central limit theorem; statistical inference of univariate data; Statistical inference for bivariate data: inference for intrinsically linear simple regression models. This course will have a business focus, but is not inappropriate for students in the college. This course may be taken concurrently with the prerequisite with instructor permission.

  • STAT1018 - Intro Business Stat

    The STAT 1018 honors section will cover the fundamentals of statistics through the lens of a skeptical statistician. Students will be introduced to the R language, which we will use exclusively in the course for data analysis and graphical presentations. Using examples from the upcoming election, the pandemic and other topics, we will critically examine both well-accepted and controversial claims. Examples: Can we trust election polls anymore, and are some provably more reliable than others? Should everyone get a booster shot? More generally, we will cover the basics (using a textbook costing less than $20), in order that you can use data to answer the following four questions: 1. What are the chances? 2. What's the best estimate? 3. Is there a difference? 4. How are these things related? No prior knowledge of programming, probability or statistics is required for this course.

  • STAT1020 - Intro Business Stat

    Continuation of STAT 1010 or STAT 1018. A thorough treatment of multiple regression, model selection, analysis of variance, linear logistic regression; introduction to time series. Business applications. This course may be taken concurrently with the prerequisite with instructor permission.

  • STAT1028 - Intro Business Stat

    Honors continuation of STAT 1010 or STAT 1018. A thorough treatment of multiple regression, model selection, analysis of variance, linear logistic regression; introduction to time series. Business applications. This course may be taken concurrently with the prerequisite with instructor permission.

  • STAT3990 - Independent Study

    Written permission of instructor and the department course coordinator required to enroll in this course.

  • STAT4300 - Probability

    Discrete and continuous sample spaces and probability; random variables, distributions, independence; expectation and generating functions; Markov chains and recurrence theory.

  • STAT5100 - Probability

    Elements of matrix algebra. Discrete and continuous random variables and their distributions. Moments and moment generating functions. Joint distributions. Functions and transformations of random variables. Law of large numbers and the central limit theorem. Point estimation: sufficiency, maximum likelihood, minimum variance. Confidence intervals. A one-year course in calculus is recommended.

  • STAT8990 - Independent Study

    Written permission of instructor, the department MBA advisor and course coordinator required to enroll.

  • STAT9950 - Dissertation

  • STAT9990 - Independent Study

    Written permission of instructor and the department course coordinator required to enroll.

Awards and Honors

  • Fellow, International Statistical Institute, 2015
  • Wharton MBA Core Award, 2010
  • Journal of Advertising Research – Award for Best Paper of 2007 (received with co-authors Leonard Lodish and Ye Hu), 2008.
  • Fellow, Institute of Mathematical Statistics, 2008
  • Fellow, American Statistical Association, 1992
  • Alpha Kappa Psi Award, Journal of Marketing, 1991
  • Lindback Award for Distinguished Teaching, University of Pennsylvania
  • Helen Kardon Moss Anvil Award for Teaching Excellence in the Wharton MBA Program
  • David W. Hauck Award for Outstanding Teaching in the Wharton Undergraduate Program

    In the News

    Knowledge at Wharton

    Activity

    Latest Research

    Adam Kapelner, Abba M. Krieger, Michael Sklar, Uri Shalit, David Azriel (2020), Harmonizing Fully Optimal Designs with Classic Randomization in Fixed Trial Experiments, The American Statistician, (to appear).
    All Research

    In the News

    A Farewell to Two Business Visionaries

    The Wharton School recently lost two of its most talented and respected faculty members, individuals whose accomplishments shaped the future of their respective disciplines. Emeritus professors Paul Kleindorfer and Paul Green died near the beginning of the academic year -- Kleindorfer on August 24 and Green on September 21. Both are praised by friends and colleagues for their contributions not only to their own academic pursuits, but to Wharton's expansion into new areas of business education over the past few decades.Read More

    Knowledge at Wharton - 10/10/2012
    All News

    Wharton Magazine

    Greatly Missed

    We remember three valuable members of the Wharton faculty.

    Wharton Magazine - 04/20/2012