Add to ORKGThere is abundant and increasing evidence that the lognormal distribution can account for random variation present in the data from many scientific fields. In the light of this flexibility for modeling, this article deals with goodness-of-fit tests for the lognormal distribution. Several testing procedures are compared by means of extensive simulation. Lastly, an actuarial data set is analyzed for illustration
The length-biased version of the lognormal distribution and related estimation problems are consider...
Contaminant concentration data from Superfund sites is quite often positively skewed, and the log-no...
The purpose of this brief note is to share some very simple observations concerning the log-normal d...
There is abundant and increasing evidence that the lognormal distribution can account for random var...
Many existing methods of statistical inference and analysis rely heavily on the assumption that the ...
Lognormal distribution has many applications. The past research papers concentrated on the estimatio...
AbstractIn this paper, we discuss the use of the coefficient of skewness as a goodness-of-fit test t...
The logistic regression has become an integral component of any medical data analysis concerning bin...
Smooth tests for the logarithmic distribution are compared with three tests: the first is a test due...
This work was supported by the Marsden Fund (Award Num-ber E2987-3648) administrated by the Royal So...
Lognormal distribution is widely used in scientific field, such as agricultural, entomological, biol...
For the basic logit models, the response Y takes the value 1 with the success probability P1, and th...
Lognormal distributions are one of the most commonly studied models in the sta tistical literature ...
Log-Rate models are used in analyzing rates of individuals who are exposed to a risk of having a cer...
The log-normal distribution is a popular model in many areas, especially in biostatistics and surviv...
The length-biased version of the lognormal distribution and related estimation problems are consider...
Contaminant concentration data from Superfund sites is quite often positively skewed, and the log-no...
The purpose of this brief note is to share some very simple observations concerning the log-normal d...
There is abundant and increasing evidence that the lognormal distribution can account for random var...
Many existing methods of statistical inference and analysis rely heavily on the assumption that the ...
Lognormal distribution has many applications. The past research papers concentrated on the estimatio...
AbstractIn this paper, we discuss the use of the coefficient of skewness as a goodness-of-fit test t...
The logistic regression has become an integral component of any medical data analysis concerning bin...
Smooth tests for the logarithmic distribution are compared with three tests: the first is a test due...
This work was supported by the Marsden Fund (Award Num-ber E2987-3648) administrated by the Royal So...
Lognormal distribution is widely used in scientific field, such as agricultural, entomological, biol...
For the basic logit models, the response Y takes the value 1 with the success probability P1, and th...
Lognormal distributions are one of the most commonly studied models in the sta tistical literature ...
Log-Rate models are used in analyzing rates of individuals who are exposed to a risk of having a cer...
The log-normal distribution is a popular model in many areas, especially in biostatistics and surviv...
The length-biased version of the lognormal distribution and related estimation problems are consider...
Contaminant concentration data from Superfund sites is quite often positively skewed, and the log-no...
The purpose of this brief note is to share some very simple observations concerning the log-normal d...