Jul 04 2009
The Actuary’s Free Study Guide for Exam 4 / Exam C
Free Tools for Rational Education
The Actuary’s Free Study Guide for Exam 4 / Exam C
G. Stolyarov II
Summer and Fall 2009
A Comprehensive List of Free Study Materials for Exam 4/C
Section 2: The Empirical Model and Limited Loss Variables
Section 4: Percentiles, Value-at-Risk, and Tail-Value-at-Risk
Section 5: The Central Limit Theorem and Applications to Special Distributions
Section 6: Moment Generating Functions and Probability Generating Functions
Section 7: Hazard Rates and Light and Heavy Tails of Distributions
Section 8: The Equilibrium Distribution, Mean Excess Loss Functions, and Tails of Distributions
Section 9: Risk Measures and Coherence
Section 10: Parametric Distributions and Scale Parameters
Section 13: Distributions of Multiples and Powers of Random Variables
Section 14: The Gamma Function, Incomplete Gamma Function, and Exponentiation of Random Variables
Section 15: Mixture Distributions and Some Review Questions
Section 16: Mixture Distributions Involving Discrete Random Variables
Section 18: Spliced Distributions
Section 19: The Linear Exponential Family of Distributions
Section 20: Properties of Poisson, Negative Binomial, and Geometric Distributions
Section 21: Properties of the Binomial Distribution and the (a, b, 0) Class of Distributions
Section 22: The (a, b, 1) Class of Distributions
Section 23: The Logarithmic Distribution
Section 24: Assorted Exam-Style Questions for Exam 4 / Exam C - Part 1
Section 25: Applications of Ordinary Deductibles Per Payment and Per Loss
Section 26: Applications of Franchise Deductibles Per Payment and Per Loss
Section 27: Loss Elimination Ratios and Inflation Effects for Ordinary Deductibles
Section 28: Policy Limits and Associated Effects of Inflation
Section 30: Impact of a Deductible on the Number of Payments
Section 31: Assorted Exam-Style Questions for Exam 4 / Exam C - Part 2
Section 32: The Collective Risk Model and the Individual Risk Model
Section 34: Stop-Loss Insurance and the Net Stop-Loss Premium
Section 37: The Method of Rounding or Mass Dispersal
Section 38: The Method of Local Moment Matching
Section 39: The Effects of Individual Policy Modifications on the Aggregate Payment Random Variable
Section 40: Properties of Aggregate Losses in the Individual Risk Model
Section 43: Kernel Smoothed Distributions, Ogives, and Histograms
Section 45: Properties of Estimators
Section 46: Interval Estimators and Hypothesis Testing
Section 48: The Kaplan-Meier Product-Limit Estimator
Section 49: Full Credibility of Data in Limited Fluctuation Credibility Theory
Section 51: Greenwood’s Approximation and Variances of Products of Random Variables
Section 53: Kernel Density Estimators and Uniform, Triangular, and Gamma Kernels
Section 54: Partial Credibility in Limited Fluctuation Credibility Theory
Section 55: The Kaplan-Meier Approximation for Large Data Sets and Multiple Decrements
Section 56: The Method of Moments and Maximum Likelihood Estimation
Section 57: Exam-Style Questions on Maximum Likelihood Estimation
Section 58: Fisher Information for One Parameter
Section 59: Fisher Information for Multiple Parameters
Section 60: The Delta Method for Estimating Functions of Parameters
Section 61: Non-Normal Confidence Intervals for Parameters
Section 62: Prior, Model, Marginal, Posterior, and Predictive Distributions in Bayesian Estimation
Section 64: Credibility Intervals and the Bayesian Central Limit Theorem in Bayesian Estimation
Section 65: Conjugate Prior Distributions in Bayesian Estimation
Section 66: Exam-Style Questions on Bayesian Estimation
Section 67: Exam-Style Questions on Bayesian Estimation - Part 2
Section 68: Exam-Style Questions on Bühlmann Credibility
Section 69: Exam-Style Questions on Bühlmann Credibility - Part 2
Section 70: Exam-Style Questions on Bühlmann-Straub Credibility
Section 72: Exam-Style Questions on the Kolmogorov-Smirnov Test and Bühlmann Credibility
Section 76: The Anderson-Darling Test
Section 77: The Likelihood Ratio Test
Section 78: The Schwarz Bayesian Criterion and Exam-Style Questions on Hypothesis Testing of Models
Section 79: Basics of Simulation and the Inversion Method
Section 80: Exam-Style Questions on the Inversion Method
Section 81: Exam-Style Questions on Simulation
Section 82: Estimates for Value-at-Risk and Tail Value-at-Risk for Simulated Samples
Section 83: The Bootstrap Method for Estimating Mean Square Error
Section 84: Simulations of Cumulative Distribution Functions and Exam-Style Questions on Simulation
Section 85: Assorted Exam-Style Questions for Exam 4/C - Part 3
Section 86: Assorted Exam-Style Questions for Exam 4/C - Part 4
Section 88: Assorted Exam-Style Questions for Exam 4/C - Part 5
Section 89: Assorted Exam-Style Questions for Exam 4/C - Part 6
Section 90: Assorted Exam-Style Questions for Exam 4/C - Part 7
Section 91: Assorted Exam-Style Questions for Exam 4/C - Part 8
Section 92: Assorted Exam-Style Questions for Exam 4/C - Part 9
Section 94: Assorted Exam-Style Questions for Exam 4/C - Part 10
Section 95: Assorted Exam-Style Questions for Exam 4/C - Part 11
Section 96: Assorted Exam-Style Questions for Exam 4/C - Part 12
Section 97: Assorted Exam-Style Questions for Exam 4/C - Part 13
Section 98: Assorted Exam-Style Questions for Exam 4/C - Part 14
Section 99: Assorted Exam-Style Questions for Exam 4/C - Part 15
Section 100: Assorted Exam-Style Questions for Exam 4/C - Part 16
Section 101: Assorted Exam-Style Questions for Exam 4/C - Part 17
Section 102: Assorted Exam-Style Questions for Exam 4/C - Part 18
Section 103: Assorted Exam-Style Questions for Exam 4/C - Part 19
Section 104: Assorted Exam-Style Questions for Exam 4/C - Part 20
Section 105: Assorted Exam-Style Questions for Exam 4/C - Part 21
Section 106: Assorted Exam-Style Questions for Exam 4/C - Part 22
Section 107: Assorted Exam-Style Questions for Exam 4/C - Part 23
Section 108: Assorted Exam-Style Questions for Exam 4/C - Part 24
Section 109: Assorted Exam-Style Questions for Exam 4/C - Part 25
Section 110: Assorted Exam-Style Questions for Exam 4/C - Part 26
Section 111: Assorted Exam-Style Questions for Exam 4/C - Part 27
Section 112: Assorted Exam-Style Questions for Exam 4/C - Part 28
Section 113: Assorted Exam-Style Questions for Exam 4/C - Part 29
Section 114: Assorted Exam-Style Questions for Exam 4/C - Part 30
Section 115: Assorted Exam-Style Questions for Exam 4/C - Part 31
Section 116: Assorted Exam-Style Questions for Exam 4/C - Part 32
G. Stolyarov II is an actuary, science fiction novelist, independent philosophical essayist, poet, amateur mathematician, composer, contributor to Enter Stage Right, Le Quebecois Libre, Rebirth of Reason, and the Ludwig von Mises Institute, Senior Writer for The Liberal Institute, former weekly columnist for GrasstopsUSA.com, and Editor-in-Chief of The Rational Argumentator, a magazine championing the principles of reason, rights, and progress. Mr. Stolyarov’s new blog, The Progress of Liberty, offers a combination of commentary, multimedia presentations, educational materials, and suggestions for effective activism in favor of individual freedom. Mr. Stolyarov also publishes his articles on Helium.com and Associated Content to assist the spread of rational ideas. He holds the highest Clout Level (10) possible on Associated Content. Mr. Stolyarov has also written a science fiction novel, Eden against the Colossus, a non-fiction treatise, A Rational Cosmology, and a play, Implied Consent. You can watch his YouTube Videos. Mr. Stolyarov can be contacted at gennadystolyarovii@yahoo.com.
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Learn about Mr. Stolyarov’s novel, Eden against the Colossus, here.
Read Mr. Stolyarov’s comprehensive treatise, A Rational Cosmology, explicating such terms as the universe, matter, space, time, sound, light, life, consciousness, and volition, here.
I am interested in going through your exam C Study guide.
What is the best way to print sections of the guide.
Suresh,
To print sections of the study guide, you can go to the URL for each individual section and scroll to the bottom of the section’s text. There is a small “Print” button with a printer icon on the left side of the screen below the text.
I hope this helps you, and I hope that you will find my study guide useful.
Sincerely,
G. Stolyarov II