A summary on entropy statistics
A survey of limit laws for bootstrapped sums.
A survey of sequential estimation in processes with independent increments
A survey of sequential statistical analysis
A survey on continuous elliptical vector distributions.
In this paper it is taken up a revision and characterization of the class of absolutely continuous elliptical distributions upon a parameterization based on the density function. Their properties (probabilistic characteristics, affine transformations, marginal and conditional distributions and regression) are shown in a practical and easy to interpret way. Two examples are fully undertaken: the multivariate double exponential distribution and the multivariate uniform distribution.
A survey on models for panel count data with applications to insurance.
A Test of Goodness-of-Fit Based on Extreme Spacings with some Efficiency Comparisons.
A theoretical argument why the -copula explains credit risk contagion better than the Gaussian copula.
A theoretical comparison of disco and CADIAG-II-like systems for medical diagnoses
In this paper a fuzzy relation-based framework is shown to be suitable to describe not only knowledge-based medical systems, explicitly using fuzzy approaches, but other ways of knowledge representation and processing. A particular example, the practically tested medical expert system Disco, is investigated from this point of view. The system is described in the fuzzy relation-based framework and compared with CADIAG-II-like systems that are a “pattern” for computer-assisted diagnosis systems based...
A theory for non-linear prediction approach in the presence of vague variables: with application to BMI monitoring
In the statistical literature, truncated distributions can be used for modeling real data. Due to error of measurement in truncated continuous data, choosing a crisp trimmed point caucuses a fault inference, so using fuzzy sets to define a threshold pointmay leads us more efficient results with respect to crisp thresholds. Arellano-Valle et al. [2] defined a selection distribution for analysis of truncated data with crisp threshold. In this paper, we define fuzzy multivariate selection distribution...
A truncated bivariate Cauchy distribution.
A tutorial on nonlinear time-series data mining in engineering asset health and reliability prediction: concepts, models, and algorithms.
A two-disorder detection problem
Suppose that the process is observed sequentially. There are two random moments of time and , independent of X, and X is a Markov process given and . The transition probabilities of X change for the first time at time and for the second time at time . Our objective is to find a strategy which immediately detects the distribution changes with maximal probability based on observation of X. The corresponding problem of double optimal stopping is constructed. The optimal strategy is found...
A two-stage procedure on comparing several experimental treatments and a control -- the common and unknown variance case.
A Two-Stage Sampling by Unequal Size Samples from Two Normal Populations with Unknown Variances.
A unified approach to multivariable discrete-time filtering based on the Wiener theory
A unified Lorenz-type approach to divergence and dependence [Book]
A unified terminology in block designs
Partially efficiency balanced (PEB) designs with m efficiency classes have been defined by Puri and Nigam [15] as block designs which have simple analysis and, if properly used, allow the important contrasts to be estimated with desired efficiency. Such designs can be made available in varying replications and/or unequal block sizes. However, any block design is a PEB design with m efficiency classes for some m < v, where v is the number of treatments in the design. So the term "PEB" itself is...
A uniform central limit theorem for dependent variables
Niemiro and Zieliński (2007) have recently obtained uniform asymptotic normality for the Bernoulli scheme. This paper concerns a similar problem. We show the uniform central limit theorem for a sequence of stationary random variables.
A variant of gravitational classification
In this article there is proposed a new two-parametrical variant of the gravitational classification method. We use the general idea of objects' behavior in a gravity field. Classification depends on a test object's motion in a gravity field of training points. To solve this motion problem, we use a simulation method. This classifier is compared to the 1NN method, because our method tends towards it for some parameter values. Experimental results on different data sets demonstrate an improvement...