Skip to main content
Back to top
Ctrl
+
K
Welcome
Getting Started
Try Online
Online Sandbox Tutorial
Installation
Onboarding Tutorials
Working with Triangles
Development Tutorial
Extending Development Patterns with Tails
Applying Deterministic Methods
Applying Stochastic Methods
Data Preparation
User Guide
Triangle
Development
Tail Estimators
IBNR Models
Data Adjustments
Workflow
Utilities
Example Gallery
Advanced Triangle Manipulation
Actual vs Expected
BornhutterFerguson vs Chainladder
BerquistSherman Adjustment
Selecting BornhuetterFerguson Apriori
Bondy Tail Sensitivity
Basic BootstrapODPSample
BootstrapODPSample Variability
DevelopmentConstant Callable
CapeCod Apriori Sensitivity
CapeCod Onleveling
Clark Growth Curves
Clark Residual Plots
Tuning Development Patterns
ELRF Residuals
Attachment Age Smoothing
Exposure Triangle
Extrapolation Period Sensitivity
GLM Reserving
IBNR Runoff
Making Predictions
MackChainladder Example
MunichAdjustment Basics
MunichAdjustment Correlation
PTF Residuals
Stochastic BornhuetterFerguson
TailCurve Basics
Triangle Creation Basics
Triangle Slicing
Value at Risk
VotingChainladder Basics
API Reference
chainladder.Triangle
chainladder.DevelopmentCorrelation
chainladder.ValuationCorrelation
chainladder.Development
chainladder.DevelopmentConstant
chainladder.MunichAdjustment
chainladder.IncrementalAdditive
chainladder.ClarkLDF
chainladder.CaseOutstanding
chainladder.TweedieGLM
chainladder.DevelopmentML
chainladder.BarnettZehnwirth
chainladder.TailConstant
chainladder.TailCurve
chainladder.TailBondy
chainladder.TailClark
chainladder.Chainladder
chainladder.MackChainladder
chainladder.BornhuetterFerguson
chainladder.Benktander
chainladder.CapeCod
chainladder.BootstrapODPSample
chainladder.BerquistSherman
chainladder.Trend
chainladder.ParallelogramOLF
chainladder.Pipeline
chainladder.VotingChainladder
chainladder.GridSearch
chainladder.load_sample
chainladder.read_pickle
chainladder.read_json
chainladder.concat
chainladder.load_sample
chainladder.minimum
chainladder.maximum
chainladder.PatsyFormula
About
Who Uses Chainladder-Python
Relevant Papers
Sample Dataset
Glossary
Questions & Issues
Contributing
Roadmap
Releases & Changelog
Repository
Open issue
.rst
.pdf
chainladder.maximum
Contents
maximum()
chainladder.maximum
#
chainladder.
maximum
(
x1
,
x2
)
#
Contents
maximum()
