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  2. Chain-ladder method - Wikipedia

    en.wikipedia.org/wiki/Chain-ladder_method

    Select tail factor; Calculate cumulative claim development factors; Project ultimate claims; Age-to-age factors, also called loss development factors (LDFs) or link ratios, represent the ratio of loss amounts from one valuation date to another, and they are intended to capture growth patterns of losses over time. These factors are used to ...

  3. Loss development factor - Wikipedia

    en.wikipedia.org/wiki/Loss_development_factor

    Ultimate loss amounts are necessary for determining an insurance company's carried reserves. They are also useful for determining adequate insurance premiums, when loss experience is used as a rating factor [4] [5] [6] Loss development factors are used in all triangular methods of loss reserving, [7] such as the chain-ladder method.

  4. Bornhuetter–Ferguson method - Wikipedia

    en.wikipedia.org/wiki/Bornhuetter–Ferguson_method

    In the second approach, reported (or paid) losses are first developed to ultimate using a chain-ladder approach and applying a loss development factor (LDF). Next, the chain-ladder ultimate is multiplied by an estimated percent reported. Finally, expected losses multiplied by an estimated percent unreported are added (as in the first approach).

  5. Validus Releases 2011 Loss Development Triangles - AOL

    www.aol.com/news/2012-11-09-validus-releases...

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  6. AXIS Capital Announces Publication of the Company's 2012 Loss ...

    www.aol.com/2013/05/20/axis-capital-announces...

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  7. DuPont analysis - Wikipedia

    en.wikipedia.org/wiki/DuPont_analysis

    Graphical representation of DuPont analysis. DuPont analysis (also known as the DuPont identity, DuPont equation, DuPont framework, DuPont model, DuPont method or DuPont system) is a tool used in financial analysis, where return on equity (ROE) is separated into its component parts.

  8. Ternary plot - Wikipedia

    en.wikipedia.org/wiki/Ternary_plot

    Sample 2: 10%: 60%: 30%: The proportion of sand is 30% as in Sample 1, but as the proportion of silt rises by 40%, the proportion of clay decreases correspondingly. Sample 3: 10%: 30%: 60%: This sample has the same proportion of clay as Sample 2, but the proportions of silt and sand are swapped; the plot is reflected about its vertical axis.

  9. Plant disease forecasting - Wikipedia

    en.wikipedia.org/wiki/Plant_disease_forecasting

    The plant disease triangle represents the factors necessary for disease to occur. Plant disease forecasting is a management system used to predict the occurrence or change in severity of plant diseases. At the field scale, these systems are used by growers to make economic decisions about disease treatments for control.

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