Cum să cumpăr
Livrare
Consilier de cumpărături
Small Sample Confidence Intervals in Log Space Back-Transformed from Normal Space
engleză
157 b
30 de zile pentru retur bunuri
Ar putea de asemenea, să te intereseze
/
Carte broșată
145
lei
/
Carte broșată
316
lei
/
Carte broșată
176
lei
/
Carte broșată
316
lei
/
Carte broșată
119
lei
/
Carte broșată
107
lei
/
Carte broșată
102
lei
The logarithmic transformation is commonly applied to a lognormal data set to improve symmetry, homoscedasticity, and linearity. Simple to implement and easy to understand, the logarithm function transforms the original data to closely resemble a normal distribution. Analysis in the normal space provides point estimates and confidence intervals, but transformation back to the original space using the naive approach yields confidence intervals of impractical width. The naive approach applies the exponential function e to the parameter of interest in normal space to obtain the corresponding parameter of interest in the original space. The naive approach offers results that are often inadequate for practical purposes. We present an alternative approach that provides improved results in the form of decreased interval width, increased confidence level, or both. Our alternative approach yields dramatically improved results at small sample sizes drawn from the right tail of the lognormal distribution.
Informații despre carte
engleză
Categorii
