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Data sets in package 'raw':

COTOR2                  Committee on the Theory of Risk (COTOR)
COTOR3                  Committee on the Theory of Risk (COTOR)
COTOR4                  Committee on the Theory of Risk (COTOR)
COTOR5                  Committee on the Theory of Risk (COTOR)
Hurricane               Hurricane data
MultiTri                MultiTri
NJM_WC                  New Jersey Manufacturing Company Workers Comp
                        Reserving Data
PPA_AccidentYear (PPA)
                        Private Passenger Auto (PPA) Ratemaking Data
PPA_LossDevelopment (PPA)
                        Private Passenger Auto (PPA) Ratemaking Data
PPA_LossTrend (PPA)     Private Passenger Auto (PPA) Ratemaking Data
PPA_PremiumTrend (PPA)
                        Private Passenger Auto (PPA) Ratemaking Data
PPA_RateChange (PPA)    Private Passenger Auto (PPA) Ratemaking Data
PPA_ULAE (PPA)          Private Passenger Auto (PPA) Ratemaking Data
RegionExperience        Region data
StateExperience         State data
comauto                 NAIC
medmal                  NAIC
othliab                 NAIC
ppauto                  NAIC
prodliab                NAIC
wkcomp                  NAIC

COTOR2                   package:raw                   R Documentation

_C_o_m_m_i_t_t_e_e _o_n _t_h_e _T_h_e_o_r_y _o_f _R_i_s_k (_C_O_T_O_R)

_D_e_s_c_r_i_p_t_i_o_n:

     The Casualty Actuarial Society's Committee on Theory of Risk
     (COTOR) issued several challenges as part of their work. These
     involved artificial constructed loss data. Actuaries were invited
     to construct models to estimate appropriate premiums for risk
     transfer.

     Note that there is no COTOR1.

     *COTOR2*

     COTOR2 is a vector containing 250 observations of claim values.

     COTOR round 2

     *COTOR3*

     COTOR3 is a data frame with 490 observations of 2 variables. The
     values were generated by the great Stuart Klugman.

        • Year: an integer indicating the year in which the claim
          occurred.

        • Amount: the amount of the claim.

     COTOR round 3

     *COTOR4*

     COTOR4 is a data frame with 2500 rows and 2 columns.

        • Year: an integer indicating the year in which the claim
          occurred.

        • Amount: the amount of the claim.

     COTOR round 4

     *COTOR5*

     COTOR5 is a data frame with 4849 rows and 5 columns

        • Risk: A single letter indicating the individual risk to which
          the claim belongs.

        • Year: an integer indicating the year in which the claim
          occurred.

        • MSA: simulated metropolitan statistical area.

        • Amount: the amount of the claim.

     COTOR round 5

_U_s_a_g_e:

     data(COTOR2)
     

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