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  • Welcome
  • Teaching
  • Research
  • Applied Stats
  • Contact Me
  • Links

  • Kagba N. Suaray, PhD

    Department of Mathematics and Statistics | California State University Long Beach

    About me

    I am a professor in the CSULB department of Mathematics and Statistics, and currently serve as graduate advisor for the Applied Statistics M.S. program.

    Education

    Doctor of Philosophy in Mathematics
    University of California, San Diego

    Bachelor of Science in Mathematics
    McNair Scholar
    California State University, Long Beach

    Curriculum Vitae

    How to reach me in Fall 2024

    Office Location: FO3-216

    Email: Kagba.Suaray@csulb.edu

    Phone: (562)985-4724

    Advising Appointments: TU 5:30PM-6PM & TH 3PM-4PM PST by appointment via Zoom/Teams video conferencing.

  • Teaching

    Current Classes and Archived Resources

    "The function of education is to teach one to think intensively and to think critically. Intelligence plus character: that is the goal of true education."
    -Rev. Dr. Martin Luther King, Jr.

    Spring 2024 Classes

    STAT 510: Regression Analysis

    STAT 520: Statistical Inference

    Beachboard

    Class Archives

    STAT 108: Statistics for Everyday Life

    MATH 113: Precalculus Algebra

    MATH 122: Calculus I

    MATH 123: Calculus II

    MATH 224: Calculus III

    MATH 247: Linear Algebra

    STAT 380: Probability and Statistics

    STAT 381: Mathematical Statistics

    STAT 482: Random Processes

    STAT 483: Survey Sampling

    STAT 510: Regression Analysis

    STAT 520: Statistical Inference

    STAT 560: Nonparametric Statistics

    STAT 697: Extreme Value Theory

  • Research

    Explorations in Theoretical and Applied Statistics

    Selected Publications

    My research interests include nonparametric functional estimation, extreme value theory, sports analytics, and using data science and machine learning to improve education. Please find some of my publications linked below.

      - Bootstrap bandwidth selection for a smooth survival function estimator from censored data. with Berg, A. Journal of Statistical Research 44, no. 2 (2010): 207-217.

      - On the asymptotic distribution of an alternative measure of kurtosis. International Journal of Advanced Statistics and Probability 3, no. 2 (2015): 161-168

      - Student performance and attitudes in a collaborative and flipped linear algebra course. With Jen-Mei Chang and Julia Murphy. International Journal of Mathematical Education in Science and Technology. 47, no. 5 (2016): 653–673.

  • CSULB Master of Science in Applied Statistics

    Resources for current and prospective graduate students and alumni

    Prospective Students

    Established in 2003, the Master of Science in Applied Statistics program at CSU Long Beach is an academic degree program which trains students to draw valid inferences from data. Using conceptual foundations and statistical software packages (SAS, R, and Python), graduates are expected to analyze real world data appropriately and communicate their findings effectively. The tools you learn here will open the door for careers in data science and analytics, or prepare you for a PhD. Typically, the requirements can be satisfied in about 4 semesters. As one of the largest statistics programs at masters granting institutions in the United States, we are building a nationwide network of alumni in industry and academia.

    If you are interested in applying to the program, download the FAQ sheet, and contact me if you have any further questions. There are two simple steps to applying. First, initiate the process at Cal-State Apply. Next fill out the prerequisite worksheet, and email it to me. We welcome domestic and international students.

    Submit Prerequisite Worksheet

    Current Students

    As students in our program, you are an instrumental part of it's success. Your passion for data analysis and hard work help foster a collaborative learning environment, with faculty support. The links below will help you navigate the process from matriculation to graduation.

    Applied Statistics in the CSULB Catalog

    Recommended Course Sequences

    Advancement to Candidacy

    Comprehensive Exams

    Thesis/Project Option

    Financial Aid, Campus Jobs, and Internship Opportunities

    Statistics Students Association

    CSULB Graduate Studies Resource Center

    University Regulations Governing the Master's Degree

    Mathematics Department Guidelines for Successful Degree Completion

    American Statistical Association Student Membership

    Blank Forms

    Alumni

    We are proud of the achievements of our alumni.

    Coming Soon!

  • Contact Me

    Connect with myself or Applied Statistics at CSULB through email or social media

    Connect with Me

    You can contact me through email, and find me on social media. I’ll get back to you as soon as I can.

    Mailing Address
    1250 Bellflower Blvd.
    Long Beach, CA 90840-1001

    Advising for Current and Future Students

    As graduate advisor for the Applied Statistics M.S. program, I'm here to help you get one step closer to your degree. Please use the button below to request an appointment.

    FALL 2022 Advising hours via Zoom/Teams video conferencing are
    M 5-7PM by appt. only.

    Request Advising Appointment

    Connect with CSULB Statistics

    Get in touch with students studying Applied Statistics at CSULB, and check out the exciting opportunities publicized by the Statistics Student Association!

  • Links

    Miscellaneous Resources for Statistics, Data Science, and More

    CSULB Applied Statistics Professors

    Sung Kim, PhD--Time Series, Computational Statistics, Multivariate Analysis, SAS

    Olga Korosteleva, PhD--Survival Analysis, Survey Sampling, Statistical Consulting, Actuarial Statistics, SAS

    Xiyue Liao, PhD--Regression Analysis, Multivariate Analysis, Data Science with R, Statistical Machine Learning, Actuarial Statistics, SAS

    Hojin Moon, PhD--Regression Analysis, Nonparametric Statistics, Statistical Inference, Special Topics in R

    Alan Safer, PhD--Data Mining, Data Informatics

    Books

    An Introduction to Statistical Learning by James, Witten, Hastie and Tibshirani is an excellent textbook emphasizing the application of many of the modern statistical techniques used in data science. Their website is full of resources, including R code, and video tutorials.

    Elements of Statistical Learning by Hastie and Tibshirani provides a more rigorous development of modern statistical techniques used in data science. The website also has many resources.

    Coding

    Downloads: *[[R]] *[[R Studio ]] *[[Python]] *[[SAS, SPSS, MATLAB, Mathematica and more]]

    Online computing: Virtual Lab @CSULB

    A Graphical User Interface (GUI) for Data Mining in R: RATTLE

    Black Mathematicians

    Mathematicians of the African Diaspora is an encyclopedic website provided by the SUNY Buffalo.

    Data visualizations by W.E.B DuBois, first black Harvard PhD, scholar, and founding father of American sociology.

    The Hesabu Circle: A mathematical space for connection for the entire Black community, from pre-K to post-Doc.

    Sports Analytics

    Sloan Sports Analytics Conference --This conference at MIT is the engine that has driven the sports analytics movement, in a lot of ways. If you navigate to the “Past Conferences” and select “Annual Recaps”, there are tons of articles and videos, where you can see the use of statistical techniques in just about all sports contexts.

    Journal of Quantitative Analysis in Sports--a wealth of scholarly articles on sports statistics. We have some access when logged in to the CSULB library website, OR when logged in to Beachnet if you happen to be on campus.

    Miscellaneous Resources --compiled by CSULB students.

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