2005, Vol. 29, Núm. 1
http://hdl.handle.net/2099/3723
Tue, 04 Oct 2022 01:13:37 GMT2022-10-04T01:13:37ZBook review: Gut, Allan. "Testing statistical hypotheses" (3rd edition). A classic Lehman and Romano book. New York: Springer, 2005, 784 pp.
http://hdl.handle.net/2099/3778
Book review: Gut, Allan. "Testing statistical hypotheses" (3rd edition). A classic Lehman and Romano book. New York: Springer, 2005, 784 pp.
Solé, Josep Lluís
It is at the same time easy and difficult to say something about a book that has become a classic, and this "Testing Statistical Hypotheses" is evidently the third edition of a book in this category. Almost all statisticians know and have at some time used the first edition published in 1959 or the second edition published in 1986.
Wed, 14 Nov 2007 19:06:13 GMThttp://hdl.handle.net/2099/37782007-11-14T19:06:13ZSolé, Josep LluísIt is at the same time easy and difficult to say something about a book that has become a classic, and this "Testing Statistical Hypotheses" is evidently the third edition of a book in this category. Almost all statisticians know and have at some time used the first edition published in 1959 or the second edition published in 1986.Book review: Gut, Allan. "Probability: a graduate course". New York: Springer, 2005, 603 pp.
http://hdl.handle.net/2099/3777
Book review: Gut, Allan. "Probability: a graduate course". New York: Springer, 2005, 603 pp.
Bardina i Simorra, Xavier
This is a graduate level text in probability theory. The book is clearly written and the emphasis is placed on theory, while there is mention of some applications. The reader needs to have a moderate background of measure theory.
Wed, 14 Nov 2007 19:02:43 GMThttp://hdl.handle.net/2099/37772007-11-14T19:02:43ZBardina i Simorra, XavierThis is a graduate level text in probability theory. The book is clearly written and the emphasis is placed on theory, while there is mention of some applications. The reader needs to have a moderate background of measure theory.Graphical display in outlier diagnostics; adequacy and robustness
http://hdl.handle.net/2099/3761
Graphical display in outlier diagnostics; adequacy and robustness
Jajo, Nethal K.
Outlier robust diagnostics (graphically) using Robustly Studentized Robust Residuals (RSRR) and Partial Robustly Studentized Robust Residuals (PRSRR) are established. One problem with some robust residual plots is that the residuals retain information from certain predicated values (Velilla,
1998). The RSRR and PRSRR techniques are unaffected by this complication and as a result they provide more interpretable results.
Mon, 12 Nov 2007 19:42:05 GMThttp://hdl.handle.net/2099/37612007-11-12T19:42:05ZJajo, Nethal K.Outlier robust diagnostics (graphically) using Robustly Studentized Robust Residuals (RSRR) and Partial Robustly Studentized Robust Residuals (PRSRR) are established. One problem with some robust residual plots is that the residuals retain information from certain predicated values (Velilla,
1998). The RSRR and PRSRR techniques are unaffected by this complication and as a result they provide more interpretable results.Positivity theorem for a general manifold
http://hdl.handle.net/2099/3760
Positivity theorem for a general manifold
Léandre, Rémi
We give a generalization in the non-compact case to various positivity theorems obtained by Malliavin Calculus in the compact case.
Mon, 12 Nov 2007 19:40:02 GMThttp://hdl.handle.net/2099/37602007-11-12T19:40:02ZLéandre, RémiWe give a generalization in the non-compact case to various positivity theorems obtained by Malliavin Calculus in the compact case.Correspondence analysis and 2-way clustering
http://hdl.handle.net/2099/3759
Correspondence analysis and 2-way clustering
Ciampi, Antonio; González Marcos, Ana; Castejón Limas, Manuel
Correspondence analysis followed by clustering of both rows and columns of a data matrix is proposed as an approach to two-way clustering. The novelty of this contribution consists of: i)proposing a simple method for the selecting of the number of axes; ii) visualizing the data matrix as is done in micro-array analysis; iii)enhancing this representation by emphasizing those variables and those individuals which are ’well represented’ in the subspace of the chosen axes. The approach is applied to a ‘traditional’
clustering problem: the classification of a group of psychiatric patients.
Mon, 12 Nov 2007 19:38:45 GMThttp://hdl.handle.net/2099/37592007-11-12T19:38:45ZCiampi, AntonioGonzález Marcos, AnaCastejón Limas, ManuelCorrespondence analysis followed by clustering of both rows and columns of a data matrix is proposed as an approach to two-way clustering. The novelty of this contribution consists of: i)proposing a simple method for the selecting of the number of axes; ii) visualizing the data matrix as is done in micro-array analysis; iii)enhancing this representation by emphasizing those variables and those individuals which are ’well represented’ in the subspace of the chosen axes. The approach is applied to a ‘traditional’
clustering problem: the classification of a group of psychiatric patients.Information matrices for some elliptically symmetric distributions
http://hdl.handle.net/2099/3758
Information matrices for some elliptically symmetric distributions
Nadarajah, Saralees; Kotz, Samuel
The Fisher information matrices are derived for three of the most popular elliptically symmetric distributions: the Pearson type II, Pearson type VII and the Kotz type distributions. We hope the results
could be important to the many researchers working in this area.
Mon, 12 Nov 2007 19:37:00 GMThttp://hdl.handle.net/2099/37582007-11-12T19:37:00ZNadarajah, SaraleesKotz, SamuelThe Fisher information matrices are derived for three of the most popular elliptically symmetric distributions: the Pearson type II, Pearson type VII and the Kotz type distributions. We hope the results
could be important to the many researchers working in this area.Automatic error localisation for categorical, continuous and integer data
http://hdl.handle.net/2099/3757
Automatic error localisation for categorical, continuous and integer data
Waal, Ton de
Data collected by statistical offices generally contain errors, which have to be corrected before reliable data can be published. This correction process is referred to as statistical data editing. At
statistical offices, certain rules, so-called edits, are often used during the editing process to determine whether a record is consistent or not. Inconsistent records are considered to contain errors, while consistent records are considered error-free. In this article we focus on automatic error localisation based on the Fellegi-Holt paradigm, which says that the data should be made to satisfy all edits by
changing the fewest possible number of fields. Adoption of this paradigm leads to a mathematical optimisation problem. We propose an algorithm for solving this optimisation problem for a mix of
categorical, continuous and integer-valued data. We also propose a heuristic procedure based on the exact algorithm. For five realistic data sets involving only integer-valued variables we evaluate the
performance of this heuristic procedure.
Mon, 12 Nov 2007 19:35:08 GMThttp://hdl.handle.net/2099/37572007-11-12T19:35:08ZWaal, Ton deData collected by statistical offices generally contain errors, which have to be corrected before reliable data can be published. This correction process is referred to as statistical data editing. At
statistical offices, certain rules, so-called edits, are often used during the editing process to determine whether a record is consistent or not. Inconsistent records are considered to contain errors, while consistent records are considered error-free. In this article we focus on automatic error localisation based on the Fellegi-Holt paradigm, which says that the data should be made to satisfy all edits by
changing the fewest possible number of fields. Adoption of this paradigm leads to a mathematical optimisation problem. We propose an algorithm for solving this optimisation problem for a mix of
categorical, continuous and integer-valued data. We also propose a heuristic procedure based on the exact algorithm. For five realistic data sets involving only integer-valued variables we evaluate the
performance of this heuristic procedure.Estimation of the spectral density of a homogeneous random stable discrete time field
http://hdl.handle.net/2099/3756
Estimation of the spectral density of a homogeneous random stable discrete time field
Demesh, Nikolay N.; Chekhmenok, Sergey L.
In earlier papers, 2π-periodic spectral data windows have been used in spectral estimation of discretetime random fields having finite second-order moments. In this paper, we show that 2π-periodic spectral
windows can also be used to construct estimates of the spectral density of a homoge-neous symmetric α-stable discrete-time random field. These fields do not have second-order moments if 0 < α < 2. We
construct an estimate of the spectrum, calculate the asymptotic mean and variance, and prove weak consistency of our estimate.
Mon, 12 Nov 2007 19:31:10 GMThttp://hdl.handle.net/2099/37562007-11-12T19:31:10ZDemesh, Nikolay N.Chekhmenok, Sergey L.In earlier papers, 2π-periodic spectral data windows have been used in spectral estimation of discretetime random fields having finite second-order moments. In this paper, we show that 2π-periodic spectral
windows can also be used to construct estimates of the spectral density of a homoge-neous symmetric α-stable discrete-time random field. These fields do not have second-order moments if 0 < α < 2. We
construct an estimate of the spectrum, calculate the asymptotic mean and variance, and prove weak consistency of our estimate.The M/G/1 retrial queue: an information theoretic approach
http://hdl.handle.net/2099/3755
The M/G/1 retrial queue: an information theoretic approach
Artalejo, Jesús R.; López Herrero, María Jesús
In this paper, we give a survey of the use of information theoretic techniques for the estimation of the main performance characteristics of the M/G/1 retrial queue. We focus on the limiting distribution
of the system state, the length of a busy period and the waiting time. Numerical examples are given to illustrate the accuracy of the maximum entropy estimations when they are compared versus the classical solutions.
Mon, 12 Nov 2007 19:29:26 GMThttp://hdl.handle.net/2099/37552007-11-12T19:29:26ZArtalejo, Jesús R.López Herrero, María JesúsIn this paper, we give a survey of the use of information theoretic techniques for the estimation of the main performance characteristics of the M/G/1 retrial queue. We focus on the limiting distribution
of the system state, the length of a busy period and the waiting time. Numerical examples are given to illustrate the accuracy of the maximum entropy estimations when they are compared versus the classical solutions.