Contact
How to shop
Delivery
Shopping guide
Small Sample Confidence Intervals in Log Space Back-Transformed from Normal Space
English
34 b
Delivery to Austria
Up to 30 days for returns
Customers also purchased
/
Paperback
15.19
€
/
Paperback
18.79
€
/
Paperback
127.99
€
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.
About the book
English
Categories
Give this book today
It's easy
1 Add to cart and choose Deliver as present at the checkout 2 We'll send you a voucher 3 The book will arrive at the recipient's addressYou might also be interested in
/
Paperback
12.29
€
/
Hardback
53.29
€
/
Hardback
90.79
€
/
Paperback
10.89
€
Hi! I'm Libroamiko, your book advisor.
How can I help you?