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).

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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.

  • 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.

  • 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.

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 @ 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) ().
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    In the News

    How Dynamic Electricity Pricing Can Improve Market Efficiency

    New research co-authored by Wharton's Arthur van Benthem demonstrates how consumers could benefit from aligning electricity prices with the cost of producing and distributing that power.…Read More

    Knowledge @ Wharton - 2024/11/12
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