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KSLCore
KSLCore
ksl.
calendar
Calendar
Ifc
Linked
List
Event
Calendar
Priority
Queue
Event
Calendar
Skew
Heap
Event
Calendar
Tree
Set
Event
Calendar
ksl.
controls
Control
Data
Control
Ifc
Controls
Companion
Control
Type
Companion
DOUBLE
INTEGER
LONG
FLOAT
SHORT
BYTE
BOOLEAN
KSLControl
ksl.
controls.
experiments
Central
Composite
Design
Companion
Designed
Experiment
Companion
Design
Point
Design
Point
Info
Design
Point
Iterator
Ifc
Duration
Serializer
Experimental
Design
Design
Point
Iterator
Experimental
Design
Ifc
Experiment
Run
Parameters
Factor
Factorial
Design
Companion
Factorial
Design
Iterator
Linear
Model
Companion
Type
First
Order
First
And
Second
All
Terms
main()
Scenario
Scenario
Runner
Scenario
Setup
Ifc
Simulation
Run
Simulation
Runner
Companion
to
Data
Frame()
Two
Level
Factor
Two
Level
Factorial
Design
Companion
Two
Level
Fractional
Iterator
ksl.
controls.
testing
main()
Van
ksl.
modeling.
elements
End
Generator
Action
Ifc
Event
Generator
Action
Step
Ifc
Build
Step
Ifc
Companion
Time
Between
Events
Step
Ifc
Event
Generator
CIfc
Event
Generator
Ifc
Generator
Action
Ifc
main()
Random
Element
Random
Element
Ifc
Random
Empirical
Map
Random
List
Random
Map
REmpirical
List
Schedule
Schedule
Item
Schedule
Change
Listener
Ifc
Schedule
Listener
ksl.
modeling.
entity
Abstract
Resource
Pool
all
Available()
allocate
In
Order()
Allocate
In
Order
Listed
Rule
Allocation
Allocation
Ifc
Allocation
Listener
Ifc
always
True
available
Resources()
Batch
Queue
Companion
Blocking
Queue
Amount
Request
Channel
Request
First
Fillable
Request
Request
Selector
Request
Selector
Ifc
Capacity
Change
Listener
Ifc
Capacity
Change
Rule
WAIT
IGNORE
Capacity
Item
Data
Capacity
Listener
Capacity
Schedule
Capacity
Item
Capacity
Schedule
CIfc
check
Available
Units()
Conveyor
Cell
Cell
Size
Step
Ifc
Cell
Type
ENTRY
EXIT
INNER
Companion
Conveyor
Request
Conveyor
Type
Step
Ifc
CSegment
First
Segment
Step
Ifc
Item
Status
OFF
ENTERING
EXITING
ON
Segment
Step
Ifc
Type
ACCUMULATING
NON_
ACCUMULATING
Velocity
Step
Ifc
Conveyor
Q
Conveyor
Request
Ifc
Conveyor
Segments
Default
Request
Queue
Notification
Rule
Default
Request
Selection
Rule
Entity
Selector
Ifc
find
Available
Resources()
find
Idle
Resources()
First
Fully
Available
Resource
has
Sufficient
Available
Units()
Hold
Queue
KSLProcess
KSLProcess
Builder
Least
Seized
Comparator
Least
Seized
Resource
Allocation
Rule
Least
Utilized
Comparator
Least
Utilized
Resource
Allocation
Rule
main()
Most
Available
Comparator
Most
Available
Resource
Allocation
Rule
num
Available()
Num
Available
Comparator
num
Available
Units()
Process
Model
Batching
Entity
Companion
Entity
Blockage
Blocking
Activity
Blocking
Movement
Blocking
Resource
Pool
Usage
Blocking
Resource
Usage
Blocking
Task
Request
Suspension
Process
Terminated
Exception
Random
Allocation
Rule
Request
Q
Request
Queue
Notification
Rule
Ifc
Request
Selection
Rule
Ifc
require
All
Available()
Resource
Capacity
Change
Listener
Capacity
Change
Notice
Companion
Resource
Allocation
Rule
Resource
Allocation
Rule
Ifc
Resource
CIfc
Resource
Pool
Resource
Pool
Allocation
Resource
Pool
CIfc
Resource
Pool
With
Q
Resource
Selection
Rule
Resource
Selection
Rule
Ifc
Resource
With
Q
Companion
Resource
With
QCIfc
Segment
Selection
Criteria
Comparator
Signal
Suspend
Type
NONE
SUSPEND
WAIT_
FOR_
SIGNAL
HOLD
WAIT_
FOR_
ITEMS
WAIT_
FOR_
ANY_
ITEMS
WAIT_
FOR_
PROCESS
BLOCK_
UNTIL_
COMPLETION
BATCHING
SEND
SEIZE
DELAY
ACCESS
RIDE
EXIT
Task
Processing
System
Inactive
Task
Repair
Task
Task
Task
Dispatcher
Task
Dispatcher
Action
Ifc
Task
Processor
Task
Processor
Action
Ifc
Task
Processor
Ifc
Task
Processor
Performance
Task
Processor
Status
START_
WORK
END_
WORK
START_
FAILURE
END_
FAILURE
START_
INACTIVE
END_
INACTIVE
START_
SHUTDOWN
SHUTDOWN
CANCEL_
SHUTDOWN
Task
Queue
Task
Type
WORK
REPAIR
BREAK
Transient
Task
Processor
Work
Task
ksl.
modeling.
nhpp
Constant
Rate
Segment
Cumulative
Rate
Function
Ifc
Invertible
Cumulative
Rate
Function
Ifc
Linear
Rate
Segment
NHPPEvent
Generator
NHPPPiecewise
Rate
Function
Event
Generator
NHPPPiecewise
Rate
Function
Time
Btw
Event
RV
NHPPTime
Btw
Event
RV
Piecewise
Constant
Rate
Function
Piecewise
Linear
Rate
Function
Piecewise
Rate
Function
Rate
Function
Ifc
Rate
Segment
Ifc
ksl.
modeling.
queue
Queue
Discipline
FIFO
LIFO
RANDOM
RANKED
FIFODiscipline
Queue
Discipline
Status
ENQUEUED
DEQUEUED
IGNORE
Queue
CIfc
Queue
Ifc
Queue
Listener
Ifc
ksl.
modeling.
spatial
Closest
Movable
Resource
Allocation
Rule
Distance
Data
Distances
Model
Location
distances
To()
Euclidean2DPlane
Point
Furthest
Movable
Resource
Allocation
Rule
Great
Circle
Based
Spatial
Model
Companion
Direction
NORTH
SOUTH
EAST
WEST
GPSCoordinate
Least
Seized
Movable
Resource
Allocation
Rule
Least
Utilized
Movable
Resource
Allocation
Rule
Location
Ifc
Movable
Resource
Companion
Movable
Resource
Allocate
In
Order
Listed
Rule
Movable
Resource
Allocation
Rule
Movable
Resource
Allocation
Rule
Ifc
Movable
Resource
Ifc
Movable
Resource
Pool
Movable
Resource
Pool
With
Q
Movable
Resource
Selection
Rule
Movable
Resource
Selection
Rule
Ifc
Movable
Resource
With
Q
Companion
Moveable
Resource
CIfc
Num
Elements
Comparator
Random
Movable
Resource
Allocation
Rule
Rectangular
Grid
Spatial
Model2D
Companion
Grid
Point
Rectangular
Cell2D
Spatial
Element
Spatial
Element
Ifc
Spatial
Model
Abstract
Location
Status
NONE
ADDED_
ELEMENT
UPDATED_
LOCATION
REMOVED_
ELEMENT
TRANSFERRED_
ELEMENT
TRANSFERRED
CELL_
CHANGED
Spatial
Model
Element
Velocity
Ifc
ksl.
modeling.
station
Activity
Station
Activity
Station
CIfc
By
Chance
Sender
Disposal
Station
Do
Nothing
Receiver
Entry
Action
Ifc
Exit
Action
Ifc
Not
Implemented
Receiver
NWay
By
Chance
Sender
QObject
Receiver
Ifc
QObject
Sender
QObject
Sender
Ifc
Receiver
Sequence
Sending
Action
Ifc
Single
QStation
Single
QStation
CIfc
SResource
SResource
CIfc
Station
Station
CIfc
Two
Way
By
Chance
Sender
Two
Way
By
Condition
Sender
ksl.
modeling.
variable
Across
Replication
Statistic
Ifc
Aggregate
Counter
Aggregate
TWResponse
Bernoulli
Variable
Count
Action
Ifc
Counter
Counter
CIfc
Counter
Ifc
Default
Reporting
Option
Ifc
Frequency
Response
CIfc
Histogram
Response
Histogram
Response
CIfc
Historical
Variable
Companion
Indicator
Response
Initial
Value
Ifc
Integer
Frequency
Response
Last
Value
Ifc
Level
Response
Max
Response
Previous
Time
Of
Change
Ifc
Random
Source
CIfc
Random
Variable
Range
Ifc
Response
Response
Batching
Element
Response
CIfc
Response
Function
Response
Ifc
Response
Interval
Companion
Response
Schedule
Companion
Response
Schedule
Item
Response
Statistics
Ifc
Stop
Action
Ifc
Stopping
Option
REPEAT
STOP
USE_
LAST
USE_
DEFAULT
Time
Of
Change
Ifc
Time
Series
Period
Data
Time
Series
Period
Statistic
Data
Time
Series
Response
Companion
Time
Series
Response
CIfc
Time
Weighted
Ifc
TWBatching
Element
Companion
TWBatch
Statistic
Observer
TWResponse
TWResponse
CIfc
TWResponse
Function
Value
Ifc
Variable
Variable
Ifc
Weighted
Response
Weight
Ifc
Within
Replication
Statistic
Ifc
ksl.
observers
Across
Replication
Half
Width
Checker
Across
Replication
Relative
Precision
Checker
Batch
Statistic
Observer
Control
Variate
Data
Collector
Counter
Trace
Counter
Trace
CSV
Experiment
Data
Collector
Model
Element
Observer
Replication
Data
Collector
Response
Trace
Response
Trace
CSV
Simulation
Timer
ksl.
observers.
textfile
CSVExperiment
Report
CSVReplication
Report
CSVReport
ksl.
observers.
welch
Abstract
Welch
Data
Collector
Statistic
Type
TALLY
TIME_
PERSISTENT
Welch
Data
Array
Collector
Welch
Data
Array
Observer
Companion
Welch
Data
Collector
Ifc
Welch
Data
File
Analyzer
Companion
Welch
Data
File
Collector
Welch
File
Meta
Data
Bean
Companion
Welch
File
Observer
Companion
ksl.
simulation
Conditional
Action
Conditional
Action
Processor
Companion
Executive
Status
CREATED
INITIALIZED
BEFORE_
EVENT
AFTER_
EVENT
AFTER_
EXECUTION
Experiment
Experiment
Ifc
Experiment
Run
Parameters
Ifc
Iterative
Process
Iterative
State
Iterative
Process
Ifc
Ending
Status
NO_
STEPS_
EXECUTED
COMPLETED_
ALL_
STEPS
EXCEEDED_
EXECUTION_
TIME
MET_
STOPPING_
CONDITION
UNFINISHED
KSLEvent
Companion
Model
Companion
Model
Element
Companion
Event
Action
Ifc
Model
Element
Comparator
QObject
QObject
Ifc
Status
NONE
BEFORE_
EXPERIMENT
BEFORE_
REPLICATION
INITIALIZED
CONDITIONAL_
ACTION_
REGISTRATION
MONTE_
CARLO
WARMUP
UPDATE
TIMED_
UPDATE
REPLICATION_
ENDED
AFTER_
REPLICATION
AFTER_
EXPERIMENT
MODEL_
ELEMENT_
ADDED
MODEL_
ELEMENT_
REMOVED
REMOVED_
FROM_
MODEL
Time
Unit
MILLISECOND
SECOND
MINUTE
HOUR
DAY
WEEK
MONTH
YEAR
Simulation
Reporter
Statistical
Batching
Element
ksl.
utilities
add
Constant()
add
Elements()
as
Interval()
batch
Means()
box
Plot
Summary()
column()
compare
To()
concatenate
To1DArray()
Constant
Value
copy
Of()
copy
Without()
count
Greater
Equal
To()
count
Greater
Than()
count
Less
Equal
To()
count
Less
Than()
diff()
divide
Constant()
Double
Array
Saver
Double
Pair
Array
Saver
empirical
CDF()
expand
To
Rectangular()
fill()
fill
Column()
find
Index()
Get
Time
Ifc
Get
Value
Ifc
has
Element()
has
Zero()
histogram()
Identity
Companion
Identity
Ifc
index
Of
Max()
index
Of
Min()
insert
At()
Interval
is
All
Different()
is
All
Equal()
is
Decreasing()
is
Increasing()
is
Rectangular()
is
Strictly
Decreasing()
is
Strictly
Increasing()
KSLArrays
lag()
main()
make
Name
From
Class()
map
In
Place()
matrix
Of
Nulls()
max()
max
Num
Columns()
min()
min
Max
Scaled
Array()
min
Num
Columns()
multiply
Constant()
multiply
Elements()
Name
Name
Ifc
New
Instance
Ifc
norm
Scaled
Array()
Ordered
List
order
Statistics()
parse
To
Doubles()
Previous
Value
Ifc
product()
range()
remove
At()
remove
Duplicates()
remove
Value()
statistics()
statistics
By
Row()
subtract
Constant()
sum
Of
Square
Roots()
sum
Of
Squares()
to2DArray()
to
CSVString()
to
Doubles()
to
Ints()
to
Longs()
to
Map
Of
Columns()
to
Map
Of
Lists()
to
Map
Of
Rows()
to
Primitives()
to
Strings()
transpose()
trim
To
Rectangular()
ksl.
utilities.
distributions
Bernoulli
Beta
Companion
Binomial
Companion
cdf()
CDFIfc
Central
MVNDistribution
Quantile
Function
Central
MVTDistribution
Chi
Squared
Distribution
Constant
Companion
Continuous
Distribution
Ifc
DEmpirical
CDF
Companion
Discrete
Distribution
Ifc
Discrete
PMFIn
Range
Distribution
Ifc
Distribution
Companion
Distribution
Function
Ifc
Distribution
Ifc
Domain
Ifc
DUniform
enumerate
Quantiles()
Exponential
First
Order
Loss
Function
Ifc
Gamma
Companion
Generalized
Beta
Geometric
Companion
Incomplete
Beta
Function
Fraction
Inverse
CDFIfc
Invertible
CDFIfc
Kolmogorov
Smirnov
Dist
Laplace
Logistic
Log
Likelihood
Ifc
Log
Logistic
Lognormal
Loss
Function
Distribution
Ifc
main()
Mean
Ifc
Moments
Ifc
MVCDF
Negative
Binomial
Companion
Normal
Companion
PDFIfc
Pearson
Type5
Pearson
Type6
PMFIfc
Poisson
Companion
probabilities()
Prob
In
Range
Ifc
Prob
Point
PWCEmpirical
CDF
Second
Order
Loss
Function
Ifc
Shifted
Distribution
Shifted
Loss
Function
Distribution
Student
T
Companion
test
CDF()
test
CDF1()
test
Quantile()
Triangular
Companion
Truncated
Distribution
Truncated
Normal
Tukey
Uniform
values()
Variance
Ifc
Weibull
Companion
ksl.
utilities.
distributions.
fitting
Boot
Strap
Results
Continuous
CDFGoodness
Of
Fit
Companion
Discrete
Distribution
GOFIfc
Discrete
PMFGoodness
Of
Fit
Distribution
GOF
Companion
Distribution
GOFIfc
Estimation
Result
Evaluation
Method
Scoring
Ranking
main()
PDFModeler
Companion
Default
Scaling
Function
Linear
Logistic
PDFModeling
Results
PMFModeler
Companion
Poisson
Goodness
Of
Fit
Scoring
Result
Shifted
Data
tes
Neg
Binomial()
test
Binomial()
test
Poisson()
ksl.
utilities.
distributions.
fitting.
estimators
Beta
MOMParameter
Estimator
Binomial
Max
Parameter
Estimator
Binomial
MOMParameter
Estimator
Exponential
MLEParameter
Estimator
Gamma
MLEParameter
Estimator
Gamma
MOMParameter
Estimator
Generalized
Beta
MOMParameter
Estimator
Laplace
MLEParameter
Estimator
Logistic
MOMParameter
Estimator
Lognormal
MLEParameter
Estimator
Neg
Binomial
MOMParameter
Estimator
Normal
MLEParameter
Estimator
Parameter
Estimator
Ifc
Pearson
Type5MLEParameter
Estimator
Poisson
MLEParameter
Estimator
Triangular
Parameter
Estimator
Uniform
Parameter
Estimator
Weibull
MLEParameter
Estimator
Weibull
Percentile
Parameter
Estimator
ksl.
utilities.
distributions.
fitting.
scoring
Adjusted
PPCorrelation
Scoring
Model
Adjusted
QQCorrelation
Scoring
Model
Akaike
Info
Criterion
Scoring
Model
Anderson
Darling
Scoring
Model
Bayesian
Info
Criterion
Scoring
Model
Chi
Squared
Scoring
Model
Cramer
Von
Mises
Scoring
Model
KSScoring
Model
Mallows
L2Scoring
Model
Parameter
MSEModel
PDFScoring
Model
Companion
PPCorrelation
Scoring
Model
PPSSEScoring
Model
QQCorrelation
Scoring
Model
QQSSEScoring
Model
Squared
Error
Scoring
Model
ksl.
utilities.
exceptions
Illegal
State
Exception
KSLEvent
Exception
KSLToo
Many
Iterations
Exception
No
Such
Step
Exception
Too
Many
Scans
Exception
ksl.
utilities.
io
add
Columns
For()
as
Mark
Down
Table()
box
Plot
Summary()
box
Plot
Summary
Data()
CSVRow
Iterator
CSVUtil
D2FORMAT
Data
Frame
Util
DEFAULT_
HEADER_
FORMAT
DEFAULT_
ROW_
FORMAT
Excel
Util
frequencies
D()
frequencies
I()
has
All
Columns()
has
All
Named
Columns()
histogram()
KSL
KSLFile
Util
Log
Print
Writer
main()
Mark
Down
Col
Fmt
LEFT
CENTER
RIGHT
Table
multiply()
multiply
Columns()
Output
Directory
permute()
print()
printf()
randomly
Select()
sample()
sample
Without
Replacement()
Statistic
Reporter
Companion
statistics()
Stat
Schema
summary
Statistics()
to
CSV()
to
Data
Frame()
to
Stat
Data
Frame()
to
Tabular
File()
write()
write
Mark
Down
Table()
write
To
File()
ksl.
utilities.
io.
dbutil
Across
Rep
Stat
Table
Data
Across
Rep
View
Data
Batch
Stat
Table
Data
Batch
Stat
View
Data
Column
Meta
Data
Control
Table
Data
Data
Access
Exception
Database
Companion
Database
Already
Exists
Exception
Database
Does
Not
Exist
Exception
Database
Ifc
Companion
Column
Type
BOOLEAN
DOUBLE
FLOAT
INSTANT
INTEGER
LOCAL_
DATE
LOCAL_
TIME
LONG
SHORT
STRING
Line
Option
COMMENT
CONTINUED
END
Database
IOIfc
Db
Create
Task
After
Tables
Only
Step
Ifc
DBAdd
Constraints
Step
Ifc
DBAfter
Insert
Step
Ifc
Db
Create
Step
Ifc
Db
Create
Task
Builder
Db
Create
Task
Execute
Step
Ifc
Db
Create
Task
First
Step
Ifc
Db
Insert
Step
Ifc
State
UN_
EXECUTED
EXECUTED
EXECUTION_
ERROR
NO_
TABLES_
ERROR
Type
NONE
FULL_
SCRIPT
TABLES
TABLES_
INSERT
TABLES_
ALTER
TABLES_
EXCEL
TABLES_
INSERT_
ALTER
TABLES_
EXCEL_
ALTER
With
Create
Script
Step
Ifc
With
Tables
Script
Step
Ifc
Db
Results
As
Text
Companion
Db
Column
Text
Type
STRING
INTEGER
DOUBLE
DATETIME
BOOLEAN
OTHER
Db
Schema
Info
Db
Table
Data
Companion
Derby
Db
Companion
Duck
Db
Companion
Duck
Db
Data
Source
Companion
Embedded
Db
Ifc
Embedded
Db
Type
SQLITE
DERBY
DUCKDB
Experiment
Table
Data
Exp
Stat
Rep
View
Data
Frequency
Table
Data
Histogram
Table
Data
is
Even()
is
Odd()
KSLDatabase
Companion
KSLDatabase
Not
Configured
KSLDatabase
Observer
Companion
main()
Model
Element
Table
Data
Postgres
Db
PWDiff
Within
Rep
View
Data
Result
Set
Row
Iterator
Result
Set
Row
Map
Iterator
Rv
Parameter
Table
Data
Simulation
Run
Table
Data
SQLite
Db
Companion
Table
Does
Not
Exist
Exception
Tabular
Data
Companion
Time
Series
Response
Table
Data
Time
Series
Response
View
Data
Within
Rep
Counter
Stat
Table
Data
Within
Rep
Counter
View
Data
Within
Rep
Response
View
Data
Within
Rep
Stat
Table
Data
Within
Rep
View
Data
ksl.
utilities.
io.
plotting
ACFPlot
Companion
Base
Plot
Box
Plot
CDFDiff
Plot
Confidence
Intervals
Plot
Density
Plot
Discrete
CDFPlot
Dot
Plot
ECDFPlot
Fit
Dist
Plot
Function
Plot
Histogram
Density
Plot
Histogram
Plot
Integer
Frequency
Plot
main()
Multi
Box
Plot
Observations
Plot
Partial
Sums
Plot
Plot
Ifc
Companion
Ext
Type
PNG
JPEG
HTML
TIF
SVG
PMFComparison
Plot
PMFPlot
PPPlot
QQPlot
Scatter
Plot
State
Frequency
Plot
State
Variable
Plot
String
Frequency
Plot
Welch
Plot
ksl.
utilities.
io.
tabularfiles
Column
Type
Data
Type
NUMERIC
TEXT
Row
Row
Getter
Ifc
Row
Ifc
Row
Setter
Ifc
Tabular
File
Companion
Tabular
Input
File
Companion
Row
Iterator
Tabular
Output
File
Companion
ksl.
utilities.
maps
Abstract
Bi
Map
as
Observation
Data
Frame()
Bi
Map
box
Plot
Summaries()
confidence
Intervals()
Data
Map
decrement()
Hash
Bi
Map
Companion
increment()
is
Rectangular()
KSLMaps
max
Array
Size()
min
Array
Size()
Mutable
Bi
Map
Observation
Data
Db
Companion
statistical
Summaries()
to2DArray()
to
Json()
to
Map()
to
Map
Of
Lists()
to
Map
With
Only
Primary
Constructor
Properties()
to
Observation
Data()
ksl.
utilities.
math
Continued
Fraction
DBHIterative
Process
fmt()
Functional
Iterator
Function
Ifc
KSLMath
Test
Function
ksl.
utilities.
mcintegration
main()
MC1DIntegration
MCExperiment
MCExperiment
Ifc
MCExperiment
Set
Up
Ifc
MCMulti
Variate
Integration
MCReplication
Ifc
ksl.
utilities.
misc
Cash
Flow
Companion
GGc
Whitt
Approximation
Companion
main()
RQInventory
Model
ksl.
utilities.
moda
Additive
MODAModel
Companion
Alternative
Rank
Frequency
Data
Companion
Linear
Value
Function
Logistic
Function
Companion
main()
Metric
Metric
Data
Companion
Metric
Ifc
Direction
Bigger
Is
Better
Smaller
Is
Better
MODAAnalyzer
Companion
MODAAnalyzer
Data
MODAModel
Companion
Multi
Attribute
Value
Function
Ifc
Overall
Value
Data
Companion
Score
Score
Data
Companion
Value
Data
Companion
Value
Function
Value
Function
Ifc
ksl.
utilities.
observers
Double
Emitter
Double
Emitter
Ifc
Double
Pair
Emitter
Double
Pair
Emitter
Ifc
Emitter
Connection
main()
Observable
Observable
Component
Observable
Ifc
Observable
Value
observe()
Observer
Ifc
ksl.
utilities.
random
Parameters
Ifc
permute()
Random
Ifc
sample()
Sample
Ifc
ksl.
utilities.
random.
markovchain
DMarkov
Chain
main()
Two
State
Markov
Chain
ksl.
utilities.
random.
mcmc
DMHMarkov
Chain
Function
MVIfc
Metropolis
Hastings1D
Companion
Metropolis
Hastings
MV
Companion
Proposal
Function1DIfc
Proposal
Function
MV
Proposal
Function
MVIfc
ksl.
utilities.
random.
rng
Get
Antithetic
Stream
Ifc
Get
Antithetic
Value
Ifc
Get
Random
Number
Stream
Ifc
mat
Mat
Mod
M()
mat
Pow
Mod
M()
mat
Two
Pow
Mod
M()
mat
Vec
Mod
M()
mult
Mod
M()
Rand
U01Ifc
RNStream
Change
Ifc
RNStream
Control
Ifc
RNStream
Factory
Companion
RNStream
RNStream
Ifc
RNStream
New
Instance
Ifc
RNStream
Provider
Companion
RNStream
Provider
Ifc
Set
Random
Number
Stream
Ifc
Stream
Option
Ifc
ksl.
utilities.
random.
robj
Bernoulli
Picker
Bernoulli
Picker
Ifc
DEmpirical
List
DPopulation
DUniform
List
main()
RElement
Ifc
REmpirical
Map
RList
RList
Ifc
RMap
ksl.
utilities.
random.
rvariable
abs()
Acceptance
Rejection
RV
acos()
acosh()
AR1Correlated
RNStream
AR1Normal
RV
asin()
asinh()
atan()
atanh()
Bernoulli
RV
Beta
RV
Binomial
RV
Bivariate
Log
Normal
RV
Bivariate
Normal
RV
BVGaussian
Copula
BVGaussian
Copula
RV
ceil()
Chi
Squared
RV
Constant
RV
Companion
cos()
cosh()
DEmpirical
RV
div()
DUniform
RV
Empirical
RV
exp()
Exponential
RV
floor()
Gamma
RV
Generalized
Beta
RV
Generate
Ifc
Geometric
RV
Get
RVariable
Ifc
Hyper2Exponential
RV
Inverse
CDFRV
Johnson
BRV
KSLRandom
Algo
Type
Inverse
Acceptance
Rejection
Laplace
RV
ln()
log10()
log2()
Logistic
RV
Log
Logistic
RV
Lognormal
RV
main()
minus()
Mixture
RV
MVGaussian
Copula
MVGaussian
Copula
RV
MVIndependent
Marginals
MVIndependent
RV
MVNormal
RV
Companion
MVRVariable
MVRVariable
Ifc
MVSample
Ifc
Negative
Binomial
RV
New
Antithetic
Instance
Ifc
Normal
RV
Parameterized
RV
Pearson
Type5RV
Pearson
Type6RV
permute()
plus()
Poisson
RV
pow()
PWCEmpirical
RV
randomly
Select()
Ratio
Of
Uniforms
RV
round()
RVariable
RVariable
Ifc
RVFunction
RVParameters
Type
Ifc
RVType
Companion
Bernoulli
Beta
Chi
Squared
Binomial
Constant
DUniform
Exponential
Gamma
Generalized
Beta
Geometric
Johnson
B
Laplace
Logistic
Log
Logistic
Lognormal
Negative
Binomial
Normal
Truncated
Normal
Pearson
Type5
Pearson
Type6
Poisson
Shifted
Geometric
Triangular
Uniform
Weibull
DEmpirical
Empirical
AR1Normal
RVUFunction
Shifted
Geometric
RV
Shifted
RV
sin()
sinh()
sqrt()
Student
TRV
tan()
tanh()
times()
to
Boolean()
to
Double()
to
Int()
Triangular
RV
truncate()
Truncated
Normal
RV
Truncated
RV
Uniform
RV
Weibull
RV
ksl.
utilities.
random.
rvariable.
parameters
AR1Normal
RVParameters
Bernoulli
RVParameters
Beta
RVParameters
Binomial
RVParameters
Chi
Squared
RVParameters
Constant
RVParameters
Create
Distribution
Ifc
DEmpirical
RVParameters
DUniform
RVParameters
Empirical
RVParameters
Exponential
RVParameters
Gamma
RVParameters
Generalized
Beta
RVParameters
Geometric
RVParameters
Johnson
BRVParameters
Laplace
RVParameters
Logistic
RVParameters
Log
Logistic
RVParameters
Lognormal
RVParameters
Negative
Binomial
RVParameters
Normal
RVParameters
Pearson
Type5RVParameters
Pearson
Type6RVParameters
Poisson
RVParameters
RVParameter
Data
RVParameters
Data
Type
DOUBLE
INTEGER
DOUBLE_
ARRAY
RVParameter
Setter
Companion
RVParameters
Ifc
Shifted
Geometric
RVParameters
Triangular
RVParameters
Truncated
Normal
RVParameters
Uniform
RVParameters
Weibull
RVParameters
ksl.
utilities.
rootfinding
Bisection
Root
Finder
Grid
Enumerator
Companion
Evaluation
main()
Root
Finder
Companion
ksl.
utilities.
statistic
Abstract
Statistic
Antithetic
Statistic
as
MCBInterval
Data
Frame()
as
MCBResult
Data
Frame()
as
MCBScreening
Interval
Data
Frame()
as
Statistic
Data
Frame()
averages()
Basic
Statistics
Batch
Statistic
Companion
Batch
Statistic
Ifc
Bootstrap
Companion
Bootstrap
Estimate
Bootstrap
Estimate
Ifc
Bootstrap
Sampler
Box
Plot
Data
Ifc
Box
Plot
Summary
BSEstimator
Ifc
Average
Maximum
Median
Minimum
Variance
Cached
Histogram
Case
Boot
Estimator
Ifc
Case
Bootstrap
Sampler
Classification
Collector
Collector
Ifc
confidence
Intervals()
counts()
DEFAULT_
CONFIDENCE_
LEVEL
Default
Time
Getter
Emp
Dist
Type
Base
Continuity1
Continuity2
Error
Matrix
Companion
Error
Matrix
Data
Error
Matrix
Record
Error
Result
TP
FP
FN
TN
Estimate
Ifc
Exceedance
Estimator
Frequency
Data
Frequency
Record
Get
CSVStatistic
Ifc
Half
Width
Sequential
Sampler
Histogram
Companion
Histogram
Bin
Histogram
Bin
Data
Histogram
Bin
Record
Histogram
Ifc
Integer
Frequency
Cell
Companion
Integer
Frequency
Ifc
is
Enum()
is
Missing()
Jack
Knife
Estimator
main()
Matrix
Boot
Estimator
Matrix
Estimator
Ifc
MCBInterval
Data
Companion
MCBResult
Data
Companion
MCBScreening
Interval
Data
Companion
Mean
Estimate
Ifc
Multi
Bootstrap
Companion
Multiple
Comparison
Analyzer
Companion
MVBSEstimator
Ifc
MVStatistic
Companion
OLSBoot
Estimator
OLSRegression
Regression
Data
Companion
Regression
Results
Ifc
Rinott
State
State
Accessor
Ifc
State
Frequency
Statistic
Companion
Ranking
Dense
Fractional
Ordinal
Statistical
Run
Companion
Statistic
Data
Statistic
Data
Db
Companion
Statistic
Ifc
Statistic
XY
Companion
String
Frequency
Cell
String
Frequency
Data
String
Frequency
Record
Summary
Statistics
Ifc
test1()
test2()
test3()
Time
Array
Time
Weighted
Statistic
U01Array
U01Test
variances()
Weighted
Collector
Weighted
Collector
Ifc
Weighted
Statistic
Companion
Weighted
Statistic
Ifc
KSLCore
/
ksl.utilities.random.rvariable
/
AR1NormalRV
/
mean
mean
val
mean
:
Double
=
0.0
Parameters
mean
the mean of the process