Department of Mathematical Sciences
If you have something to compute, let Wolfram|Alpha
give it a shot.
The contents of this communication are the sole responsibility of Dr. Maria E. Calzada and do not necessarily represent the opinions or policies of Loyola University New Orleans.
I was born in beautiful
Here is a picture of my daughters, Teresa and Melissa, in Gijon, Spain in June of 2009.
Here is a selected list of my publications.
Boyson, Toby K., Spence, Thomas G., Calzada, Maria E., and Harb, Charles C. “Frequency domain analysis for laser-locked cavity ringdown spectroscopy,” Optics Express, 19:9, 8092–8101 (2011).
Calzada, Maria E. and Gardner, Holly. “Confidence Intervals for the Mean: To Bootstrap or not to Bootstrap,” Mathematics and Computer Education, 45:1, 25-38 (2011).
Scariano, Stephen M. and Calzada, Maria E. “The Generalized Synthetic Chart,” Sequential Analysis, 28:1, 54-68 (2009).
Calzada, Maria E. and Scariano, Stephen M. “Joint Monitoring of the Mean and Variance of Combined Control Charts with Estimated Parameters,” Communications in Statistics – Simulation and Computation, 36:5, 1115-1134 (2007).
Scariano, Stephen M. and Calzada, Maria E. “Statistical Thinking with Trend Charts,” Mathematics Teacher, 100: 8, 534-541 (2007).
Scariano, Stephen M. and Calzada, Maria E. “Three Perspectives on Teaching Least Squares,” Mathematics and Computer Education, 38:3, 255-264 (2004).
“Average Run Length Computations for the Three-Way Chart,” with Stephen M. Scariano. Communications in Statistics Simulation and Computation Vol. 33, No.2, 2004, pp. 505-524.
“Computing Average Run Lengths for the MaxEWAM Chart,” with Stephen M. Scariano. Communications in Statistics Simulation and Computation Vol. 33, No.2, 2004, pp. 489-503.
“Contrasting Total Least Squares with Ordinary Least Squares Part II: Examples and Comparisons,” with Stephen M. Scariano. Mathematics and Computer Education, Vol. 37, No. 2, 2003, pp. 159-174.
“A Note on the Lower-Sided Synthetic Chart for Exponentials,” with Stephen M. Scariano. Quality Engineering Vol. 15, No. 4, 2003, pp. 677-680.
“The Robustness of the MaxEWMA Chart to Non-Normality,” with Stephen M. Scariano. Communications in Statistics Simulation and Computation Vol. 32, No.2, 2003, pp. 573-590.
“Reconciling the Integral Equation and Markov Chain Approach for Computing EWMA Average Run Lengths,” with Stephen M. Scariano. Communications in Statistics Simulation and Computation Vol. 32, No.2, 2003, pp.591-604.
“The Robustness of the Synthetic Control Chart to Non-Normality," with Steve Scariano. Communications in Statistics Simulation and Computation 30 (2001) 311-326.
"Simpson's Paradox and Matrix Determinants," with Steve Scariano, Mathematics and Computer Education 34 (2000) 237-244.
The data included here accompanies a manuscript with title “How Many Calories: An Applied Project” which Thom Spence, from the Chemistry Department, and I wrote. A Matlab program implementing the technique described in the article is included here.
Here is the presentation given at the 2007 Joint Mathematics Meetings held in New Orleans, Louisiana.
Here is a useful Visual Basic Application to check distributional assumptions on data (Normality and Exponentiality) using the Lilliefors Test and the Anderson-Darling Test. EDF TESTS. The expository manuscript explaining the tests and the application, included here. The Power-Point presentation for the 15th Annual ICTCM is here. The paper is published in the electronic proceedings of this conference is here.
Here is a Visual Basic Application that computes Average Run Lengths (ARLs) and Standard Deviations of Average Run Lengths for EWMA charts given different underlying distributions (Standard Normal, Student’s t, gamma, exponential, uniform, chi-square, and beta distributions). This program also allows users to conduct a study of false alarm detection.
Here is a Visual Basic Application that computes Ordinary Least Squares and Total Least Squares lines. It also computes and plots residuals and performs “inverse regression.” This readme file explains how this program can be executed. This folder contains data sets used in the paper "Contrasting Total Least Squares with Ordinary Least Squares Part II: Examples and Comparisons”, to appear in Mathematics and Computer Education.
SCORE (Summer Collaborative Outreach and Research Experience) is a summer research program funded by the Louisiana Board of Regents. In the summer of 2009, I participated in the SCORE program and led a team of students including Loyola junior Holly Gardner and high school students Jade Wimbly and John Skelton in a simulation study. Our project was a comparison of the student’s t confidence interval with several bootstrap confidence intervals. We concluded that if the data came from a symmetric distribution the usual student’s t confidence interval was superior. If the data came from a skewed distribution the bootstrap t confidence interval was preferred. Here are the complete tables of the simulations with SYMMETRIC distributions. Here are the complete tables of the simulations with SKEWED distributions.
My latest vita is here.
Teaching is my favorite part of my job. It gives me great personal satisfaction. I thoroughly enjoy every aspect of teaching (except grading papers). I teach a variety of courses from freshman level algebra to advanced calculus.
Department of Mathematical Sciences,
Electronic mail address firstname.lastname@example.org
Office phone 504.865.2491
FAX number 504.865.2051
Last revised: 5/4/10