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Teng and Perkins     Topic Started By Replies Views Last Post   Teng and Perkins, estimating the premium asset, 20X5 exam pr... NEAS 0 707 7/6/2006 8:59 AM by NEAS   Teng and Perkins, background on the reserving methods NEAS 0 311 7/5/2006 1:01 PM by NEAS   Teng and Perkins, formula method (loss capping), intuition NEAS 0 321 7/5/2006 1:00 PM by NEAS   Teng and Perkins, retrospective rating, a primer NEAS 0 343 7/5/2006 12:59 PM by NEAS   Teng and Perkins, estimating the premium asset, step-by-step... NEAS 0 299 7/5/2006 12:02 PM by NEAS   Teng and Perkins, loss capping procedure, step-by-step guide NEAS 0 293 7/5/2006 12:01 PM by NEAS   Teng and Perkins, formula approach, illustrative test questi... NEAS 0 293 7/5/2006 12:00 PM by NEAS   Teng and Perkins, loss capping procedure, 2001 past exam pro... NEAS 0 284 7/5/2006 11:59 AM by NEAS   Teng and Perkins, empirical approach, illustrative test ques... NEAS 0 295 7/5/2006 11:58 AM by NEAS   Teng and Perkins, estimating the premium asset, practice pro... NEAS 0 298 7/5/2006 11:57 AM by NEAS   Teng and Perkins, cumulative PDLD ratios, 2001 past exam pro... NEAS 0 332 7/5/2006 11:54 AM by NEAS

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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: 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