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General Study Recommendations     Topic Started By Replies Views Last Post   Friedland Reorg? 123 0 327 6/16/2009 6:35 AM by 123

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------------------------    Bailey Simon    Generalized linear models    Robbin underwriting profit provision    Ferrari    Internal rate of return    Kreps on risk loads    Mango on risk loads    Webinars    Minimum Bias    Gillam and Snader webinars    NCCI experience rating webinars    Mahler on shifting risk parameters webinars    Venter webinars    ISO experience rating plan webinars    Gillam webinars    Lee diagrams webinars    NCCI retrospective rating plan webinars    Mahler on excess ratios webinars    Skurnick on Table L webinars    Walters and Morin webinars    Fisher High Deductible webinars    Teng LDD webinars    Mahler on ELF's webinars ------------------------ » VEE Exam Course: Regression Analysis John Fox text ------------------------    Registration    Course scheduling    Introduction    Materials    Homework assignments    Questions    Final exam    Fox Module 1 Statistical models    Fox Module 2 Basics of regression analysis    Fox Module 3 Univariate displays    Fox Module 4 Bivariate displays    Fox Module 5 Multivariate displays    Fox Module 6 Transforming data    Fox Module 7 Advanced transformations    Fox Module 8 Linear least squares regression    Fox Module 9 Multiple regression    Fox Module 10 Advanced multiple regression    Fox Module 11 Statistical inference for simple linear regression    Fox Module 12 Statistical inference for multiple regression    Fox Module 13 Dummy variable regression    Fox Module 14 Modeling interactions    Fox Module 15 Advanced interactions    Fox Module 16 Analysis of variance    Fox Module 17 Unusual and influential data    Fox Module 18 Outliers and Influence advanced    Fox Module 19 Heteroscedasticity    Fox Module 20 Collinearity    Fox Module 21 Generalized linear models concepts    Fox Module 22 Generalized linear models discrete and continuous data    Fox Module 23 Generalized linear models, probabilities    Fox Module 24 Student project requirements and templates ------------------------ » VEE Exam Course: Regression Analysis (old text) ------------------------    Registration    Benefits of online course    Introduction    Materials    Homework assignments    Final exam    Questions    Module 1: Regression models    Module 2: Statistical processes    Module 3: The two variable regression model    Module 4: Analysis of variance and correlation    Module 5: The multiple regression model    Module 6: F tests, R-squared    Module 7: Multicollinearity    Module 8: Standardized coefficients and elasticities    Module 9: Types of models    Module 10: Dummy variables    Module 11: t and F tests    Module 12: Piecewise linear regression    Module 13: Heteroscedasticity    Module 14: Heteroscedasticity, testing    Module 15: Serial correlation, corrections    Module 16: Serial correlation, testing    Module 17: Model specification    Module 18: Regression diagnostics    Module 19: Forecasting    Module 20: Minimum variance forecasts    Module 21: Maximum likelihood estimation    Module 22: Likelihood ratio test    Module 23: ARCH models    Module 24: Binary choice models    Loss Reserving (Old: See new postings in Student Project forum) ------------------------ » VEE Regression Analysis Student Project ------------------------    Student Projects    Regression Analysis Student Project Samples    Project Template: Sports Won-Loss Statistics    Loss Reserving    Other Ideas: Parameter Stability and Heteroscedasticity ------------------------ » VEE Exam Course: Time Series Cryer Chan text ------------------------    Registration    Materials    Introduction    Homework assignments    Course scheduling    Final exam    Questions    TS Module 1 Time series overview    TS Module 2 Time series concepts    TS Module 3 Trends    TS Module 4 Regression methods    TS Module 5 Stationary moving average processes    TS Module 6 Stationary autoregressive processes    TS Module 7 Stationary mixed processes    TS Module 8 Non-stationary time series basics    TS Module 9 Non-stationary ARIMA time series    TS Module 10 Autocorrelation functions    TS Module 11 Simulated and actual time series    TS Module 12 Parameter estimation method of moments    TS Module 13 Parameter estimation least squares    TS Module 14 Model diagnostics    TS Module 15 Forecasting basics    TS Module 16 ARIMA Forecasting    TS Module 17 Forecasting bounds    TS Module 18 Forecast updates and weights    TS Module 19 Seasonal models basics    TS Module 20 Seasonal models advanced    TS Module 21 Building an ARIMA process    TS Module 22 Student projects interest rates    TS Module 23 Student projects sport statistics    TS Module 24 Student projects weather and demographics ------------------------ » VEE Exam Course: Time Series (old text) ------------------------    Registration    Benefits of online course    Course scheduling    Introduction    Materials    Homework assignments    Final exam    Questions    Module 1: Modeling    Module 2: Statistical processes    Module 3: Simple extrapolation models    Module 4: Smoothing and seasonal adjustment    Module 5: Stochastic time series models    Module 6: Characterizing time series: the autocorrelation function    Module 7: Testing for random walks    Module 8: Co-integrated time series    Module 9: Moving average models    Module 10: Autoregressive models    Module 11: Mixed autoregressive moving average models    Module 12: Homogeneous nonstationary processes: ARIMA models    Module 13: Specifications of ARIMA models    Module 14: Stationarity, invertibility, and homogeneity    Module 15: Estimating time series models    Module 16: Diagnostic checking    Module 17: Forecasting with time series models    Module 18: Forecast errors and confidence intervals    Module 19: Properties of ARIMA forecasts    Module 20: Model evaluation, historical simulation, and ex post forecasts    Module 21: Models of economic variables: inventory investment    Module 22: Forecasting seasonal data    Module 23: Transfer function models    Module 24: Combined regression - time series models    Time Series Student Project ------------------------ » VEE Time Series Student Project ------------------------    Time Series Student Project Samples    Weather: Daily Temperature Data    Student Project General: Introduction, Write-up, Grading    Time Series Techniques    Student Project Samples    Time Series Project Templates    Interest Rates    ARIMA Modeling    Indices for TS Student Projects    Web Sites and Data Questions ------------------------ » VEE Exam Course: Microeconomics ------------------------    Registration    Updates    Benefits of online course    Course scheduling    Introduction    Materials    Homework assignments    Final exam    Questions    Module 1: Consumer's Demand, Producer's Supply, and Equilibrium    Module 2: Prices, costs, and the gains from trade    Module 3: The behavior of consumers    Module 4: Consumers in the marketplace    Module 5: The behavior of firms    Module 6: Production and costs    Module 7: Competition: short run    Module 8: Competition: long run    Module 9: Welfare economics and the gains from trade    Module 10: Knowledge and information    Module 11: Monopoly    Module 12: Price discrimination    Module 13: Market power    Module 14: Collusion, cartels, and regulation    Module 15: Oligopoly, monopolistic competition, and product differentiation    Module 16: The theory of games    Module 17: Externalities: Pigou and Coase    Module 18: Externalities: transaction costs, law and economics    Module 19: Common property and public goods    Module 20: The demand for factors of production    Module 21: The market for labor    Module 22: Wages and discrimination    Module 23: Allocating goods over time    Module 24: Risk and uncertainty ------------------------ » VEE Exam Course: Macroeconomics (2009 textbook) ------------------------    Textbook    Syllabus    Homework assignments    Course questions    Final exam    Macro Module 1: National Income Accounting    Macro Module 2: Economic Growth    Macro Module 3: Growth Models    Macro Module 4: Working with the Solow Growth Model    Macro Module 5: Conditional Convergence and Long-Run Economic Growth    Macro Module 6: Markets, Prices, Supply, and Demand    Macro Module 7: Market Clearing    Macro Module 8: Consumption, Savings, and Investment    Macro Module 9: An Equilibrium Business Cycle Model    Macro Module 10: Business Cycle Effects    Macro Module 11: Capital Utilization and Unemployment    Macro Module 12: Demand for Money    Macro Module 13: Price Levels and Seasonal Variations    Macro Module 14: Inflation and Interest Rates    Macro Module 15: Inflation, Interest Rates, and Money Growth    Macro Module 16: Government Expenditures    Macro Module 17: Temporary Changes in Government Expenditures and War Spending    Macro Module 18: Taxes    Macro Module 19: Public Debt    Macro Module 20: Debt and Social Security    Macro Module 21: Price mis-perceptions model, theory    Macro Module 22: Price mis-perceptions model, empirical evidence    Macro Module 23: Sticky prices (new Keynesian model)    Macro Module 24: New Keynesian model and sticky wages ------------------------ » VEE Exam Course: Macroeconomics (2007 textbook) ------------------------    Final Exam    Textbook    Syllabus    Homework Assignments    Macro Module 1: National Income Accounting    Macro Module 2: Economic Growth    Macro Module 3: Growth Models    Macro Module 4: Working with the Solow Growth Model    Macro Module 5: Conditional Convergence and Long-run Economic Growth    Macro Module 6: Markets, Prices, Supply, and Demand    Macro Module 7: Market Clearing    Macro Module 8: Consumption, Saving, and Investment    Macro Module 9: An Equilibrium Business Cycle Model    Macro Module 10: Business Cycle Effects    Macro Module 11: Capital Utilization and Unemployment    Macro Module 12: Demand for Money    Macro Module 13: Price Levels and Seasonal Variations    Macro Module 14: Inflation and Interest Rates    Macro Module 15: Inflation, Interest Rates, and Money Growth    Macro Module 16: Government Expenditure    Macro Module 17: Temporary Changes and War Spending    Macro Module 18: Taxes    Macro Module 19: Public Debt    Macro Module 20: Public Debt and Social Security    Macro Module 21: World markets in Goods and Credit    Macro Module 22: Terms of Trade    Macro Module 23: Purchasing Power Parity and Interest Rate Parity    Macro Module 24: Fixed and Flexible Exchange Rates ------------------------ » VEE Exam Course: Corporate Finance ------------------------    Updates    Registration    Benefits of online course    Course scheduling    Introduction    Materials    Homework assignments    Final exam    Questions    Module 1: Present value and the opportunity cost of capital    Module 2: Calculating present values    Module 3: Value of common stocks    Module 4: Net present value vs other valuation models    Module 5: Investment decisions and net present value    Module 6: Risk, return, and the opportunity cost of capital    Module 7: Risk and return    Module 8: Capital budgeting and risk    Module 9: Analyzing corporate projects    Module 10: Positive net present value    Module 11: Maximizing net present value    Module 12: Corporate financing and market efficiency    Module 13: Corporate financing    Module 14: The capital markets    Module 15: Common stock dividends    Module 16: Debt policy    Module 17: Optimal corporate borrowing    Module 18: Financing and valuation: weighted average cost of capital    Module 19: Financing and valuation: adjusted present value    Module 20: Introduction to options    Module 21: Option valuation    Module 22: Real options    Module 23: Advanced option valuation    Module 24: Financial analysis and planning ------------------------ » Mahler's Guide to Regression ------------------------    All Guides    Transitional CAS Exam Applied Statistics    Questions for Howard Mahler

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