R

I presented my master’s project in October 2023. It was titled ‘Reliability Estimation in Series Systems: Maximum Likelihood Techniques for Right-Censored and Masked Failure Data’.

An API for constructing and working with likelihood models; works well with algebraic.mle R package

An API for algebraic maximum likelihood fitting

An R package for backpropagation through a computational graph

R package in narrow support of my master’s project in reliability estimation for series systems from masked failure data like the component cause of failure being unknown or the failure being censored.

An API for an algebra over distributions

An API for constructing and working with dynamic failure rates.

An API for constructing and working with likelihood models; works well with algebraic.mle R package

Problem 1 Part (a) Part (b) Part (c) Interpretation Part (d) Part (e) Part (f) Part (g) Part (h) Problem 2 Part (a) Part (b) Part (c) Part (d) Interpretation Part (e) Appendix: code mixed.

Problem 1 Solution: Newton’s method Solution: Secant method Comparison of Newton’s method versus secant method Problem 2 Solution Problem 3 Solution: part (a) Solution: part (b) Problem 4 Solution Problem 5 Solution Problem 6 Solution Problem 1 Write your own code and find solution to the equation \(x^3 + x - 4 = 0\) using Newton’s method and the secant method.