https://sites.temple.edu/sserrano/files/2020/08/17-Solute-Transport-under-Non-Linear-Sorption-and-Decay.pdf
In this article, we derive a decomposition series solution (Adomian, 1994) of the non-linear advec-tive-dispersive-reaction equation. Decomposition generates an analytic series, much like Fourier series, which converges fast to the exact solution. The most important feature of the method, however, is that if offers the simplest systematic procedure to solve non-linear equations without ...
https://liberalarts.temple.edu/sites/liberalarts/files/CV_2022.pdf
PhD candidate and teaching assistant at the Department of Geography and Urban Studies in Temple University. In my research, I integrate earth observation, GIS and Machine Learning spatial modeling methods with quantitative and qualitative methods from the social and environmental sciences to study agricultural transformation processes in frontier regions. apply a Land Systems Science approach ...
https://cis.temple.edu/~latecki/Courses/CIS2033-Spring13/Modern_intro_probability_statistics_Dekking05.pdf
A modern introduction to probability and statistics. — (Springer texts in statistics) 1. Probabilities 2. Mathematical statistics I. Dekking, F. M.
https://cst.temple.edu/sites/cst/files/theses1/bao.pdf
tween Hecke eigenforms, we give another proof that the j-function is algebraic
https://cis.temple.edu/~wu/research/publications/Publication_files/handbook-part1.pdf
The 19 chapters in this section cover a wide range of topics across multiple layers: MAC (part of the data link layer), network, and applications. One chapter is devoted to the cross-layer architecture for ad hoc wireless networks. Several chapters deal with various efficient and scalable routing, including multicasting and geocasting, in ad hoc wireless networks. One chapter discusses routing ...
https://cis.temple.edu/~pwang/2166-MC/Lectures/Rosen_Ch10.pptx
We have a lot of freedom when we draw a picture of a graph. All that matters is the connections made by the edges, not the particular geometry depicted. For example, the lengths of edges, whether edges cross, how vertices are depicted, and so on, do not matter.
https://sites.temple.edu/newcombe/research/
In C. E. Overson, C. M.Hakala, L. L. Kordonowy, & V. A. Benassi (Eds.), In their own words: What scholars and teachers want you to know about why and how to apply the science of learning in your academic setting (pp. 8-18).
https://ronlevygroup.cst.temple.edu/courses/2016_fall/biost5312/lectures/biostat_lecture_06.pdf
Estimation: concerned with estimating the values of speci c population parameters. These speci c values are referred to as point estimates. Sometimes, interval estimation is carried out to specify an interval which likely includes the parameter values. Hypothesis testing: concerned with testing whether the value of a population parameter is equal to some speci c value
https://www.fox.temple.edu/sites/fox/files/documents/CVs/oleg-rytchkov-cv.pdf
Professional Service Ad hoc referee Applied Economics, Communications in Nonlinear Science and Numerical Simulation, Economics Let-ters, Financial Markets and Portfolio Management, Financial Management, Financial Review, Inter-national Economic Review, International Review of Economics and Finance, International Review of Finance, Journal of Banking and Finance, Journal of Econometrics ...
https://cis.temple.edu/~latecki/Courses/Math3033-Fall09/DekkingBook07/DekkingBook_c2.pdf
Outcomes, events, and probability The world around us is full of phenomena we perceive as random or unpre-dictable. We aim to model these phenomena as outcomes of some experiment, where you should think of experiment in a very general sense. The outcomes are elements of a sample space Ω, and subsets of Ω are called events.The events will be assigned a probability, a number between 0 and 1 ...