Index A | B | C | D | E | F | G | I | K | L | M | N | O | P | Q | R | S | T | U | V | W | Y | Z A accumulated_due() (in module actuarialpy) accumulated_immediate() (in module actuarialpy) accumulation_factor() (in module actuarialpy) actual_to_expected() (in module actuarialpy) actual_vs_expected() (Experience method) actuarialpy module add() (in module ratingmodels) add_business_days() (in module actuarialpy) add_exposure_column() (in module actuarialpy) add_margin() (in module actuarialpy) add_months_in_force() (in module actuarialpy) add_tenure() (in module actuarialpy) adjust() (Experience method) (in module actuarialpy) age() (in module actuarialpy) aggregate_demographic_factor() (in module ratingmodels) AggregateLayer (class in risksim) aic() (in module lossmodels) amortization_schedule() (in module actuarialpy) anderson_darling() (in module lossmodels) annualized_trend() (in module actuarialpy) annuity_continuous() (in module actuarialpy) annuity_due() (in module actuarialpy) annuity_immediate() (in module actuarialpy) annuity_immediate_mthly() (in module actuarialpy) apply_cap() (in module ratingmodels) apply_completion() (in module actuarialpy) apply_contract() (in module risksim) apply_seasonality() (in module actuarialpy) apply_trend() (in module ratingmodels) as_dict() (ScenarioOutcome method) assign_band() (in module actuarialpy) at() (PricingEvaluation method) attachment_probability() (AggregateLayer method) average_relativity() (in module ratingmodels) B band() (in module ratingmodels) base_rate_from_experience() (in module ratingmodels) base_value_ (GLMRelativities attribute) BaseRateResult (class in ratingmodels) Beta (class in lossmodels) bic() (in module lossmodels) Binomial (class in lossmodels) blend() (in module ratingmodels) BootstrapResult (class in extremeloss) breakdown (BuildUpResult attribute) breakdown() (ManualRate method) Buhlmann (class in actuarialpy) buhlmann_credibility() (in module ratingmodels) buhlmann_straub() (in module ratingmodels) BuhlmannStraub (class in actuarialpy) BuhlmannStraubResult (class in ratingmodels) BuildUp (class in ratingmodels) BuildUpResult (class in ratingmodels) Burr (class in lossmodels) business_days_in_period() (in module actuarialpy) by() (Experience method) by_band() (Experience method) by_status() (Experience method) C cap_change() (in module ratingmodels) cdf() (Binomial method) (Geometric method) (Poisson method) censored_log_likelihood() (in module lossmodels) chain_ladder_by() (in module actuarialpy) ChainLadder (class in actuarialpy) checkpoint() (in module ratingmodels) ci (TrendFit property) claim_concentration() (in module actuarialpy) claimant_concentration() (Experience method) claimants() (Experience method) coefficients_ (GLMRelativities attribute) cohort() (Experience method) cohort_summary() (in module actuarialpy) cohort_summary_by_period() (in module actuarialpy) CollectiveRiskModel (class in lossmodels) combine_streams() (in module ratingmodels) combine_trend() (in module ratingmodels) combined_ratio (UnderwritingSummary property) combined_ratio() (in module actuarialpy) complete() (Experience method) completion_factors() (in module actuarialpy) completion_factors_by() (in module actuarialpy) component_driver_analysis() (in module actuarialpy) component_summary() (Experience method) component_trend() (in module actuarialpy) components() (Experience method) ContractProgram (class in risksim) corridor() (in module ratingmodels) cramer_von_mises() (in module lossmodels) credibility_weighted() (Experience method) credibility_weighted_estimate() (in module actuarialpy) D decompose_per_exposure_trend() (in module actuarialpy) decompose_rate_change() (in module ratingmodels) decompose_trend() (Experience method) decreasing_annuity_immediate() (in module actuarialpy) deferred_annuity_immediate() (in module actuarialpy) derive_status() (in module actuarialpy) deseasonalize() (Experience method) (in module actuarialpy) develop_ultimate() (in module actuarialpy) development_months() (in module actuarialpy) deviance_ (GLMRelativities attribute) discount_factor() (in module actuarialpy) discount_factors() (in module actuarialpy) duration() (Experience method) duration_summary() (in module actuarialpy) E earned_exposure() (in module actuarialpy) effective_discount() (in module actuarialpy) empirical_tvar() (in module extremeloss) empirical_var() (in module extremeloss) EmpiricalFrequency (class in lossmodels) EmpiricalSeverity (class in lossmodels) estimate_tail_probability() (in module extremeloss) estimate_tail_probability_cmc() (in module extremeloss) estimate_tvar_cmc() (in module extremeloss) estimate_tvar_is() (in module extremeloss) evaluate() (in module ratingmodels) excess_loss() (EmpiricalSeverity method) (Exponential method) (SeverityModel method) excess_over_threshold() (in module actuarialpy) expected_excess_charge() (in module ratingmodels) expense_and_profit_ratio() (RetentionLoad method) expense_ratio (UnderwritingSummary property) expense_ratio() (in module actuarialpy) Experience (class in actuarialpy) ExperienceRate (class in ratingmodels) Exponential (class in lossmodels) exposure_years() (in module actuarialpy) extremeloss module F factor() (TrendFit method) factor_lookup() (in module actuarialpy) FactorTable (class in ratingmodels) filter() (Experience method) fit() (Buhlmann class method) (BuhlmannStraub class method) (ChainLadder class method) (GLMRelativities method) fit_best_frequency() (in module lossmodels) fit_best_severity() (in module lossmodels) fit_burr() (in module lossmodels) fit_exponential() (in module lossmodels) fit_gamma() (in module lossmodels) fit_gpd() (in module extremeloss) fit_inverse_gamma() (in module lossmodels) fit_loglogistic() (in module lossmodels) fit_lognormal() (in module lossmodels) fit_mle() (in module lossmodels) fit_mle_censored() (in module lossmodels) fit_negbinomial() (in module lossmodels) fit_pareto() (in module lossmodels) fit_paretoII() (in module lossmodels) fit_poisson() (in module lossmodels) fit_spliced_gpd() (in module extremeloss) fit_trend() (Experience method) (in module actuarialpy) fit_weibull() (in module lossmodels) force_of_interest() (in module actuarialpy) frequency() (in module actuarialpy) frequency_severity() (Experience method) frequency_severity_summary() (in module actuarialpy) FrequencyModel (class in lossmodels) from_fit() (GPDTail class method) from_frame() (BuhlmannStraub class method) from_indication() (PricingEvaluation class method) from_items() (RetentionLoad class method) from_per_exposure() (UnderwritingSummary class method) full_credibility_claims() (in module actuarialpy) full_credibility_standard() (in module ratingmodels) future_value() (in module actuarialpy) G gain (UnderwritingSummary property) gain_ratio (UnderwritingSummary property) Gamma (class in lossmodels) GeneralizedBeta (class in lossmodels) GeneralizedPareto (class in lossmodels) Geometric (class in lossmodels) geometric_annuity_immediate() (in module actuarialpy) GEVFit (class in extremeloss) gini_coefficient() (in module ratingmodels) GLMRelativities (class in ratingmodels) goodness_of_fit() (in module lossmodels) GPDFit (class in extremeloss) GPDTail (class in extremeloss) gross_margin (UnderwritingSummary property) gross_margin_ratio (UnderwritingSummary property) gross_rate() (in module ratingmodels) (RetentionLoad method) I ibnr() (in module actuarialpy) implied_loss_ratio() (RetentionLoad method) increasing_annuity_immediate() (in module actuarialpy) indicated_change() (in module actuarialpy) indicated_rate() (RateIndication method) indicated_rate_change() (RateIndication method) InsufficientDataWarning internal_rate_of_return() (in module actuarialpy) InverseBurr (class in lossmodels) InverseExponential (class in lossmodels) InverseGamma (class in lossmodels) InverseGaussian (class in lossmodels) InverseParalogistic (class in lossmodels) InversePareto (class in lossmodels) InverseWeibull (class in lossmodels) is_in_force() (in module actuarialpy) K k (Buhlmann property) (BuhlmannStraub property) kaplan_meier() (in module lossmodels) ks_statistic() (in module lossmodels) L lag_months() (in module actuarialpy) large_claimant_flags() (in module actuarialpy) level_payment() (in module actuarialpy) lift_table() (in module ratingmodels) limited_expected_value() (EmpiricalSeverity method) (Exponential method) (SeverityModel method) limited_fluctuation_credibility() (in module ratingmodels) limited_fluctuation_z() (in module actuarialpy) log_likelihood() (in module lossmodels) Logarithmic (class in lossmodels) Loglogistic (class in lossmodels) Lognormal (class in lossmodels) LogT (class in lossmodels) loss_cost() (ExperienceRate method) (ManualRate method) loss_ratio (UnderwritingSummary property) loss_ratio() (in module actuarialpy) loss_ratio_indication() (RateIndication method) lossmodels module M make_completion_triangle() (in module actuarialpy) manual_loss_cost() (in module ratingmodels) ManualRate (class in ratingmodels) margin() (Experience method) (in module actuarialpy) margin_ratio() (in module actuarialpy) mean() (Beta method) (Binomial method) (Burr method) (CollectiveRiskModel method) (EmpiricalFrequency method) (EmpiricalSeverity method) (Exponential method) (FrequencyModel method) (Gamma method) (GeneralizedBeta method) (GeneralizedPareto method) (Geometric method) (InverseBurr method) (InverseExponential method) (InverseGamma method) (InverseGaussian method) (InverseParalogistic method) (InversePareto method) (InverseWeibull method) (Logarithmic method) (Loglogistic method) (Lognormal method) (LogT method) (NegativeBinomial method) (Paralogistic method) (Pareto method) (ParetoII method) (Poisson method) (SeverityModel method) (SingleParameterPareto method) (SplicedSeverity method) (Weibull method) (ZeroModified method) (ZeroTruncated method) midpoint_trend_factor() (in module actuarialpy) module actuarialpy extremeloss lossmodels ratingmodels risksim multiply() (in module ratingmodels) N n_iter_ (GLMRelativities attribute) NegativeBinomial (class in lossmodels) net_present_value() (in module actuarialpy) nominal_discount() (in module actuarialpy) nominal_interest() (in module actuarialpy) normalized() (FactorTable method) O off_balance_factor() (in module ratingmodels) one_way_relativities() (in module ratingmodels) outstanding_balance() (in module actuarialpy) P Paralogistic (class in lossmodels) Pareto (class in lossmodels) ParetoII (class in lossmodels) participation_blend() (in module ratingmodels) payments_to_ground_up() (in module lossmodels) pdf() (EmpiricalSeverity method) per_exposure() (in module actuarialpy) period_change() (in module actuarialpy) period_midpoint() (in module ratingmodels) permissible_loss_ratio() (in module actuarialpy) (in module ratingmodels) perpetuity_due() (in module actuarialpy) perpetuity_immediate() (in module actuarialpy) pit_values() (in module lossmodels) pmf() (Binomial method) (Geometric method) (Poisson method) Poisson (class in lossmodels) pool_claimants() (Experience method) pool_claims() (in module ratingmodels) pool_losses() (in module actuarialpy) pooled_loss_cost() (ExperienceRate method) Portfolio (class in risksim) PortfolioItem (class in risksim) ppf() (SeverityModel method) predict() (GLMRelativities method) premium() (Buhlmann method) (BuhlmannStraub method) premium_for_margin() (PricingEvaluation method) present_value() (in module actuarialpy) present_value_curve() (in module actuarialpy) PricingEvaluation (class in ratingmodels) project() (ChainLadder method) project_forward() (in module actuarialpy) pure_premium() (in module actuarialpy) Q quantile() (Beta method) (Burr method) (EmpiricalSeverity method) (Exponential method) (Gamma method) (GeneralizedBeta method) (GeneralizedPareto method) (InverseBurr method) (InverseExponential method) (InverseGamma method) (InverseGaussian method) (InverseParalogistic method) (InversePareto method) (InverseWeibull method) (Loglogistic method) (Lognormal method) (LogT method) (Paralogistic method) (Pareto method) (ParetoII method) (SeverityModel method) (SingleParameterPareto method) (SplicedSeverity method) (Weibull method) R rate() (ExperienceRate method) (ManualRate method) rate_change_decomposition() (RateIndication method) rate_change_for_margin() (PricingEvaluation method) rate_from_force() (in module actuarialpy) rate_from_nominal_discount() (in module actuarialpy) rate_from_nominal_interest() (in module actuarialpy) RateChangeDecomposition (class in ratingmodels) RateIndication (class in ratingmodels) ratingmodels module ratio() (in module actuarialpy) rebalance_base_rate() (in module ratingmodels) reconciliation() (UnderwritingSummary method) relativities_ (GLMRelativities attribute) renew() (in module ratingmodels) RenewalAction (class in ratingmodels) required_revenue() (in module actuarialpy) retained_cv() (in module actuarialpy) retention_for_target_cv() (in module actuarialpy) RetentionLoad (class in ratingmodels) risksim module rolling() (Experience method) rolling_summary() (in module actuarialpy) round_rate() (in module ratingmodels) S safe_divide() (in module actuarialpy) sample() (Beta method) (Binomial method) (Burr method) (CollectiveRiskModel method) (EmpiricalFrequency method) (EmpiricalSeverity method) (Exponential method) (FrequencyModel method) (Gamma method) (GeneralizedBeta method) (GeneralizedPareto method) (Geometric method) (InverseBurr method) (InverseExponential method) (InverseGamma method) (InverseGaussian method) (InverseParalogistic method) (InversePareto method) (InverseWeibull method) (Logarithmic method) (Loglogistic method) (Lognormal method) (LogT method) (NegativeBinomial method) (Paralogistic method) (Pareto method) (ParetoII method) (Poisson method) (SeverityModel method) (SingleParameterPareto method) (SplicedSeverity method) (Weibull method) (ZeroModified method) (ZeroTruncated method) sample_lossmodel() (in module extremeloss) scenario_frame() (in module ratingmodels) ScenarioOutcome (class in ratingmodels) seasonality_factors() (in module actuarialpy) seasonality_factors_by() (in module actuarialpy) segment_multiply() (in module ratingmodels) severity() (in module actuarialpy) SeverityModel (class in lossmodels) SimulationResult (class in risksim) SingleParameterPareto (class in lossmodels) splice_gpd_tail() (in module extremeloss) SplicedSeverity (class in lossmodels) split_total_trend() (in module ratingmodels) start() (in module ratingmodels) statement() (UnderwritingSummary method) status_summary() (in module actuarialpy) std() (FrequencyModel method) Step (class in ratingmodels) steps (BuildUpResult attribute) steps() (ManualRate method) subtotal() (BuildUpResult method) subtotals (BuildUpResult attribute) summarize_actual_vs_expected() (in module actuarialpy) summarize_by_band() (in module actuarialpy) summarize_claimants() (in module actuarialpy) summarize_components() (in module actuarialpy) summarize_experience() (in module actuarialpy) summarize_views() (in module actuarialpy) summary() (CollectiveRiskModel method) (GLMRelativities method) T tail_quantile_table() (in module lossmodels) TailEstimateResult (class in extremeloss) ThresholdScan (class in extremeloss) to_frame() (UnderwritingSummary method) top_claimants() (Experience method) (in module actuarialpy) trend() (Experience method) trend_factor() (in module actuarialpy) (in module ratingmodels) trend_factor_between() (in module ratingmodels) trend_summary() (in module actuarialpy) TrendFit (class in actuarialpy) U underwriting_summary() (in module actuarialpy) UnderwritingSummary (class in actuarialpy) unit_level_renewal() (in module ratingmodels) uplift_for_target_margin() (in module ratingmodels) V validate_completion_factors() (in module actuarialpy) value (BuildUpResult attribute) variable_and_profit (RetentionLoad property) variance() (Beta method) (Binomial method) (Burr method) (CollectiveRiskModel method) (EmpiricalFrequency method) (EmpiricalSeverity method) (Exponential method) (FrequencyModel method) (Gamma method) (GeneralizedBeta method) (GeneralizedPareto method) (Geometric method) (InverseBurr method) (InverseExponential method) (InverseGamma method) (InverseGaussian method) (InverseParalogistic method) (InversePareto method) (InverseWeibull method) (Logarithmic method) (Loglogistic method) (Lognormal method) (LogT method) (NegativeBinomial method) (Paralogistic method) (Pareto method) (ParetoII method) (Poisson method) (Portfolio method) (SeverityModel method) (SingleParameterPareto method) (SplicedSeverity method) (Weibull method) (ZeroModified method) (ZeroTruncated method) views() (Experience method) W Weibull (class in lossmodels) weighted_mean() (in module actuarialpy) weighted_summary() (in module actuarialpy) with_roles() (Experience method) with_status() (Experience method) Y year_fraction() (in module actuarialpy) years_between() (in module ratingmodels) Z z (Buhlmann property) z() (BuhlmannStraub method) zero_margin_rate_change() (PricingEvaluation method) ZeroModified (class in lossmodels) ZeroTruncated (class in lossmodels)