University of Pennsylvania (UPenn)

Prof. T. Smith

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Prof. T. Smith

The content listed below has not been created by Prof. T. Smith

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Subjects

Electrical and Electronics Engineering

Documents

Assignment 1 - Introduction to Spatial Analysis | ESE 502

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ArcGIS Software: Importing and Manipulating Text Files and Images - Prof. T. Smith

Testing Spatial Randomness - Lecture Notes | ESE 502

Problem Set 2 for Engineering and Application Statistics | ESE 302

Problem Set 4 - Engineering and Application Statistics | ESE 302

Analyzing Point Patterns: K-Function and Clustering in Spatial Data - Prof. T. Smith

Assignment 2 - Introduction to Spatial Analysis | ESE 502

Examples of Smoothers for Spatial Interpolation in Geostatistical Analyst | ESE 502

Continuous Spatial Data Analysis - Lecture Notes | ESE 502

Spatial Point Pattern Analysis - Notes | ESE 502

Variance Stabilizing Transformations, Weighted Least Squares - Notes | ESE 302

California Rainfall Data Analysis Assignment for ESE 502 - Prof. T. Smith

Homework 6 Questions - Introductions to Spatial Analysis | ESE 502

Engineering and Application Statistics - Problem Set III | ESE 302

Deep Dive into Maximum Likelihood Estimation & Hypothesis Testing in Statistics - Prof. T.

Spatial Randomness: Understanding Point Patterns and Poisson Processes - Prof. T. Smith

Notes on Standard Procedure for Universal Kriging Model | ESE 502

Spatial Regression: GEODA Analysis - R-Square, AIC, and Breusch-Pagan Test - Prof. T. Smit

Problem Set 5 for ESE 302: Statistical Analysis of Hypothesis Testing - Prof. T. Smith

Variance of Maximum-Likelihood Estimates: Derivation of Formula for Mean Estimate - Prof.

Lecture Notes on Simple Linear Regression | ESE 302

Simple Example of Effects of Spatial Autocorrelation | ESE 502

Spatial Autoregressive Models for Discrete Counting Data: Autologistic, Auto Binomial, Aut

Problem Set 1 for ESE 302: Data Analysis and Probability - Prof. T. Smith

Spatial Regression on Philadelphia Housing: Constructing Weight Matrix and Checking Autoco

Bias of Regression Estimator: An Analysis of ρ and Moran's I - Prof. T. Smith

Solutions to Problem Set 1 - Engineering Applications of Statistics | ESE 302

Kriging with One Predicator: Finding the Minimum Mean-Squared Error Predicator - Prof. T.

Statistical Analysis of Linear Regression Model with Mileage and Time Data - Prof. T. Smit