Faculty Home Page - Rene van Dorp

EMSE Engineering Management and Systems Engineering	Dr. Johan René van Dorp Professor

APSC 3115

Introduction

Lecture Notes

R-Files

Python-Files

Example Exam Questions

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Dekking

Solutions -
Devore

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WMMY

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ENGINEERING ANALYSIS III :

To run the Python Files you need to first install, which you can download for free from: https://www.python.org/

Next, you need to install an environment editor to run the python files. I use Spyder, which you can download for free from:
https://www.spyder-ide.org/

SESSION 1: John_and_Mary.py, Iris_Analysis.py, Dist_Library.py

SESSION 2: Examples_Chapter4.py, Dist_Library.py, Examples_Chapter5.py, Uniform_Sampler.py, Bernoulli_Sampler.py, Question_6_2_Sampler.py, Question_6_3_Sampler.py, Exponential_Sampler.py, Jury_Rule_Simulation.py

SESSION 3:

SESSION 4: Joint_Distribution_S_M.py, Dist_Library.py, Joint_Normal_Distribution_pdf.py, Joint_Normal_Distribution_pdf_2.py, Joint_Normal_Distribution_cdf.py, Joint_Distibution_PDF_Example.py, Joint_Distibution_CDF_Example.py, Joint_Distibution_PDF_Example_2.py

SESSION 5: Convolution_Discrete_Uniform_Distribution_S.py, Dist_Library.py, Spare_Radio_Example.py, Sum_of_Two_Uniforms.py, GeneralizedTrapezoidal.py, Sum_of_Two_Exponentials.py, Sum_of_30_Exponentials.py, Sum_of_Two_Normals.py

SESSION 6: Average_of_Sum_of_Exponentials.py, Credibility_Interval_of_Sum_of_Exponentials.py, Chebishev_Inequality.py, Law_of_Large_Numbers_Uniform_Gamma.py, Law_of_Large_Numbers_Expon_Normal.py, Law_of_Large_Numbers_Cauchy_Pareto.py, Recovering_Gamma_Density_1.py, Recovering_Gamma_Density_2.py

SESSION 7: Central_Limit_Theorem_Exponentials.py, CLT_Refinement_of_LOLN_Gamma.py, CLT_Accountant_Example.py

SESSION 8: MIDTERM EXAM

Data Chapter 15: OldFaithFul.csv, SoftwareFailure.csv, DrillTime.csv, AustralianTimber.csv

Code Chapter 15: OldFaithFul_1.py, OldFaithFul_2.py, OldFaithFul_3.py, OldFaithFul_4.py, DrillTime.py, ECDF_Example.py, SoftwareFailure.py, DrillTime.py, AustralianTimber.py, Dist_Library.py

SESSION 9:

Data Chapter 16: OldFaithFul.csv, SoftwareFailure.csv

Code Chapter 16: Wick_Temperature.py, Empirical_Quantile_Example.py, OldFaithFul_IQR.py, OldFaithFul_Boxplot.py, SoftwareFailure_Boxplot.py, Dist_Library.py

SESSION 10:

Code Chapter 19: Estimators_S_T.py, Dist_Library.py

Code Chapter 20: Estimators_Mean_Var.py, Estimators_S_T_MSE.py, Estimators_S_T_MSE_P.py, Dist_Library.py

SESSION 11:

Data Chapter 23 - 24: Coal.csv

Code Chapter 23: Normal_conf_var_known.py, Normal_conf_var_known_sample.py, Normal_conf_var_unknown.py, Normal_conf_var_unknown_sample.py, Coal.py, Student_T_Normal_Sample.py, Student_T_Expon_Sample.py

Code Chapter 24: Wilson_Confidence_Interval_Proportion.py, Wilson_Confidence_Interval_Proportion_random.py, Normal_conf_upper_var_unknown.py, Normal_conf_upper_var_unknown_sample.py, Normal_conf_lower_var_unknown.py, Normal_conf_lower_var_unknown_sample.py

SESSION 12:

Code Chapter 25: Sampling_without_replacement_1.py, Sampling_without_replacement_2.py, Sampling_without_replacement_3.py, German_Tank_Example_350.py, German_Tank_Example_80.py, German_Tank_Example_Type_1_error_350.py, German_Tank_Example_Type_1_error_80.py, German_Tank_Example_Type_2_error_350.py, German_Tank_Example_Type_2_error_80.py

SESSION 13: Dutch_Speed_Example_Type_I_Error.py, Dutch_Speed_Example_Type_II_Error.py, Dutch_Speed_Example_Type_II_Error_OC.py

Data Chapter 27: BallBearings.csv, OldFaithFul.csv

Code Chapter 27: Ball_Bearing_1.py, Ball_Bearing_2.py, Ball_Bearing_3.py, Ball_Bearing_4.py, OldFaithfull_T_Test.py

SESSION 14:

Data Chapter 28: LeanAngle.csv

School of Engineering and Applied Science
The George Washington University
1776 G Street NW, Suite 135
Washington, DC 20052
Email:  dorpjr@gwu.edu
Phone: (202) 994-6638