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functional form biascan causeserial correlation over time in addition
the error termcausingserial correlation in the errors
A change in the meanwill causeserial correlation in the data
choosing control days ... the exposure periodmay leadto confounding due to serial correlation
Removal of those variables from the original modelcan resultin removal of serial correlation
to specifically identify those unique applications(passive) can be designedcorrelation rules
The estimationresultswithout a serial correlation
Free desktop tool for visual exploration of complex datasetsto discovercorrelation patterns
by each scattering event(passive) caused bycorrelation function
enabling usersto discovercorrelation patterns
by dividing voltage during high voltage output(passive) influenced byserial connection
by bandwidth limitation , sampling frequency deviation and carrier frequency deviation(passive) caused bycorrelation gain
also(passive) has ... been discoveredStatistical correlation
incorrect functional form(passive) can be caused bySerial correlation
monitoring as frequentlywill ... causeserial correlation
dramatic shocks to the system , which ripple along the timeline in the form of inflated or deflated error(passive) can be caused bySerial correlation
to result in the returns from each specific stock selection contributing a similar level of unique risk to the Index(passive) is designedcorrelation
the positive correlation by linear fit(passive) was discoveredcorrelation
The statistical techniques ... , regression - see below ) and phenomenainventedcorrelation
jumped timing ( timing belts usually ) or stretching timing belts or chains(passive) are usually caused byCorrelation DTCs
he researchersdiscovered correlation
The researchersdiscovered correlation
by the third factor(passive) caused byCorrelation
some other factorscausingcorrelation
some underlying factor(passive) may be caused byCorrelation
to said ... to generate a second index valueresultcorrelation
a physical processcausescorrelation
Insufficient # data & Limited ModelscausingCorrelation
The statistical techniquesinventedcorrelation
's been yearsresultingcorrelation
to test relationships between quantitative variables or categorical variables(passive) is designedCorrelation
correlation 2008 ... the yeardiscoveredcorrelation
by the same factor(passive) are caused bycorrelation
also(passive) can ... be causedCorrelation
also(passive) is ... influencedCorrelation
no reasonto discovercorrelation
highly expressed genes(passive) is strongly influenced byCorrelation
The first construct ... a circuit behaviorcausescorrelation
reportdiscovered correlation
2012 case reportdiscovered correlation
in co - integrationresultingin co - integration
to biased standard errors in difference - in - differences estimationsleadsto biased standard errors in difference - in - differences estimations
variables to appear to be statistically significant when they are in fact notcan causevariables to appear to be statistically significant when they are in fact not
to a gross underestimation of the downside potential of hedge fund strategies ... by as much as 70 %leadsto a gross underestimation of the downside potential of hedge fund strategies ... by as much as 70 %
to multicollinearitywould leadto multicollinearity
biascausesbias
usersettinguser
FM - transmittersdiscoversFM - transmitters
to increased inductancewill leadto increased inductance
uneven brightnesswill causeuneven brightness
with detailis leadingwith detail
to this errorledto this error
in an underestimate of the standard error in a statistical model , which then can cause variables to appear to be statistically significant when they are in fact notcan resultin an underestimate of the standard error in a statistical model , which then can cause variables to appear to be statistically significant when they are in fact not
incorrect standard error estimatescausesincorrect standard error estimates
the data(passive) influenced bythe data
the problems(passive) caused bythe problems
in non - robust estimatesmay resultin non - robust estimates
to bias in the coefficient estimatesleadto bias in the coefficient estimates
the resultsto influencethe results
to biased resultscan leadto biased results
to biased resultsleadingto biased results
in one period s return and the nextcausingin one period s return and the next
Many wrong matches ( 10 - 50 %resultsMany wrong matches ( 10 - 50 %
the bias(passive) caused bythe bias
bias in the estimated coefficientsdoes ... causebias in the estimated coefficients
an inaccurate parameter estimatewill causean inaccurate parameter estimate
to an investor exodus , ledto an investor exodus ,
The principal problem(passive) caused byThe principal problem
in the estimated coefficientsdoes ... causein the estimated coefficients
concernshould ... causeconcern
the variability(passive) caused bythe variability
fitting(passive) caused byfitting
all the parameter estimates to be inconsistent and invalidcausesall the parameter estimates to be inconsistent and invalid
infinite variance(passive) caused byinfinite variance
infinite variance(passive) caused byinfinite variance
the smoothing and lag(passive) caused bythe smoothing and lag
the smoothing and lag(passive) caused bythe smoothing and lag
in quadrats that are closer togetherresultsin quadrats that are closer together
from unobserved factors affecting the outcomesresultingfrom unobserved factors affecting the outcomes
causation ... but causation is only correlated with correlationcausescausation ... but causation is only correlated with correlation