underfit
overfit
underestimate
lowball
undersample
underrate
nuisance parameter
robust
underreckoning
underestimation
underrating
undermeasure
micromethod
coefficient of alienation
rule of succession
minimum
underpredict
microcharacterization
hyperparameterization
ratio scale
generalized estimating equation
underprediction
underfactorization
subgrid
underassess
guesstimate
resistant
Gumbel distribution
distribution-free
microparameter
qualitative research
underevaluate
nonparametric statistic
distribution free statistic
null result
underflow
get ahead of oneself
understate
studentization
nonparametric statistics
short
missingness
Mann-Whitney U test
underweight
jejune
Cramér-Rao bound
inadequate
sequential probability ratio test
poor
underbet
clinicoparameter
subdiagnostic
undercalculation
underdeviation
dead reckoning
negligibly
guesswork
roughcast
microdistribution
shot
toupee fallacy
guess
underconcern
guessing
underdistribute
undercoverage
confidence level
breakdown point
reverse jinx
negative
mononumerosis
pseudoanalytical
equation
Grubbs' test
perplexity
overparameterize
rejection region
healthy participant effect
significance level
undervalue
undergeneralize
semivariance
underfilter
numbers game
statistically significant
default
multiple regression
multiple correlation
partial
macromethod
nonparametric
certain event
dynamic range

English words for 'To use a statistical model that has too few parameters relative to the size of the sample.'

As you may have noticed, above you will find words for "To use a statistical model that has too few parameters relative to the size of the sample.". Hover the mouse over the word you'd like to know more about to view its definition. Click search related words by phrase or description. to find a better fitting word. Finally, thanks to ChatGPT, the overall results have been greatly improved.

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