scispace - formally typeset
Search or ask a question
JournalISSN: 0390-590X

Statistica 

University of Bologna
About: Statistica is an academic journal. The journal publishes majorly in the area(s): Estimator & Population. It has an ISSN identifier of 0390-590X. Over the lifetime, 778 publications have been published receiving 4427 citations.


Papers
More filters
Journal ArticleDOI
TL;DR: In this paper, an ulteriore parametro di forma for escursione agli indici di asimmetria e curtosi is presented. Butte et al. presentati ulteriori risultati relativi ad una classe di funzioni di densita gia trattate in un altro lavoro dell'autore.
Abstract: Vengono presentati ulteriori risultati relativi ad una classe di funzioni di densita gia trattate in un altro lavoro dell'autore (1985). Viene introdotto in particolare un ulteriore parametro di forma che consente un'ampia escursione agli indici di asimmetria e curtosi.

585 citations

Journal ArticleDOI
TL;DR: In this paper, Gupta et al. study the family of distributions termed as exponentiated Weibull distribution and compare the behavior of the failure rate with those of the Weibbull and Gamma distributions.
Abstract: In this paper we study the family of distributions termed as exponentiated Weibull distribution. The distribution has three parameters (one scale and two shape) and the Weibull distribution and the exponentiated exponential distribution, discussed by Gupta, et al. (1998), are particular cases of it. The survival function, failure rate and moments of the distributions have been derived using certain special formulas. The behavior of the failure rate has been studied and compared with those of the Weibull and Gamma distributions. The distribution has been fitted to a real life data set and the fit has been found to be very good.

146 citations

Journal ArticleDOI
TL;DR: In this paper, the problem of estimating the population mean of the study variate Y using information on two auxiliary variables X 1 and X 2 has been addressed and a ratio-cum-product type exponential estimator has been suggested and its bias and mean squared error have been derived under large sample approximation.
Abstract: This paper addresses the problem of estimating the population mean of the study variate Y using information on two auxiliary variables X 1 and X 2 . A ratio-cum-product type exponential estimator has been suggested and its bias and mean squared error have been derived under large sample approximation. An almost unbiased ratio-cum-product type exponential estimator has also been derived by using Jackknife technique envisaged by Quenouille (1956). A generalized version of the ratio-cum-product exponential estimator has also been given along with its properties. Numerical illustration is given in support of the present study.

93 citations

Journal ArticleDOI
TL;DR: A new model validation procedure for a logistic regression model and a methodology for the assessment of the performance of a given model by using an example taken from a management study are described.
Abstract: In this paper a new model validation procedure for a logistic regression model is presented. At first, we illustrate a brief review of different techniques of model validation. Next, we define a number of properties required for a model to be considered "good", and a number of quantitative performance measures. Lastly, we describe a methodology for the assessment of the performance of a given model by using an example taken from a management study.

84 citations

Journal ArticleDOI
TL;DR: In this paper, the influence function of the Gini concentration ratio is determined and the resulting function is used to verify the robustness properties of the functional, which proves sensitive to the presence of outliers.
Abstract: In this paper the influence function of the Gini concentration ratio is determined. The resulting function is used to verify the robustness properties of the functional, which proves sensitive to the presence of outliers. The local shift sensitivity is then determined and it is shown to be bounded under the assumption that income is a continuous random variable. Finally the influence function is used in the approximation of the bias of Gini's concentration ratio due to grouped data.

57 citations

Network Information
Related Journals (5)
Communications in Statistics-theory and Methods
12.3K papers, 133.9K citations
82% related
Computational Statistics & Data Analysis
6.1K papers, 193.5K citations
82% related
Journal of Statistical Planning and Inference
6.9K papers, 128.8K citations
81% related
Statistics & Probability Letters
8.9K papers, 117K citations
79% related
Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202110
202023
201919
201825
201713
201621