• # Kagba N. Suaray, PhD

Department of Mathematics and Statistics | California State University Long Beach

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

#### How to reach me in Fall 2023

Office Location: FO3-216

Email: Kagba.Suaray@csulb.edu

Phone: (562)985-4724

Advising Appointments: TU 11AM-12PM and TH 5-6PM 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.

#### Fall 2022 Classes

I am not teaching this semester, but you can find resources from previous semesters here

STAT 520: Statistical Inference

#### 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 to improve pedagogy. Please find some of my publications linked below.

• # 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.

#### 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

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

#### Alumni

We are proud of the achievements of our alumni.

• # 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.

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.

#### 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!

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.