Distribution models are essential tools for

Estimating process characteristics

Predicting future values

Simulating process behavior

Communicating random concepts

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Six
Sigma
Distribution
Modeling
is
the
first
book
providing
expert
guidance
on
selecting
distribution
models,
plus
a
comprehensive
catalog
of
distribution
families.
Written
for
nonstatisticians,
this
landmark
reference
makes
it
easy
to
choose
a
properly
fitting
distribution
model
and
use
it
for
a
variety
of
important
tasks.
Six
Sigma
training
and
many
statistical
tools
assume
that
processes
have
a
normal
distribution.
When
they
do
not,
statistical
tools
must
be
changed
to
fit
the
process.
Six
Sigma
Distribution
Modeling
illustrates
the
best
ways
to
create
control
charts,
calculate
capability
metrics,
and
predict
process
performance
using
a
wide
variety
of
distribution
models.
No
other
book
provides
expert
guidance
on
all
these
important
tools:

Goodnessoffit
tests

Graphs
for
selecting
distributions

Estimating
population
characteristics

Nonnormal
capability
metrics

Nonnormal
control
charts

Optimizing
random
processes

Extreme
value
theory

Selecting
and
using
statistical
software
Table
of
Contents:

Modeling
random
behavior
with
probability
distributions

Selecting
statistical
software
tools
for
Six
Sigma
practitioners

Applying
nonnormal
distribution
models
in
Six
Sigma
projects

Applying
distribution
models
and
simulation
in
Six
Sigma
projects

Glossary
of
Terms

Bernoulli
(YesNo)
distribution

Beta
distribution

Binomial
distribution

Chisquared
distribution,
including
chi
and
noncentral
versions

Discrete
uniform
distribution

Exponential
distribution

Extreme
value
distribution

F
distribution,
including
noncentral
version

Gamma
distribution

Geometric
distribution

Hypergeometric
distribution

Laplace
distribution

Logistic
distribution

Lognormal
distribution

Negative
binomial
distribution

Normal
(Gaussian)
distribution,
including
halfnormal
and
truncated
versions

Pareto
distribution

Poisson
distribution,
including
truncated
versions

Rayleigh
distribution

Student’s
t
distribution,
including
noncentral
version

Triangular
distribution

Uniform
distribution

Weibull
distribution