Often when comparing the survival rates of individuals given either of two treatments the analysis stops with a test of the hypothesis of no treatment di erence and perhaps a plot of the two survival functions. The hypothesis test is usually a comparison of the two survival curves over the entire observational period. An alternative approach to this problem is to provide an investigator with a ...

A task independent spoken Language Identi cation (LID) system which uses a Large Vocabulary Automatic Speech Recognition (LVASR) module for each language to choose the most likely language spoken is described in detail. The system has been trained on 5 languages: English, German, Japanese, Mandarin Chinese and Spanish. In this paper it is demonstrated that the performance of a LID system which ...

IR evaluation measures are o‰en compared in terms of rank correlation between two system rankings, agreement with the users’ preferences, the swap method, and discriminative power. While we view the agreement with real users as the most important, this paper proposes to use the Worst-case Con€dence interval Width (WCW) curves to supplement it in test-collection environments. WCW is the worst-ca...

We de/ne a notion of strong matching of frequentist and Bayesian inference for a scalar parameter, and show that for the special case of a location model strong matching is obtained for any interest parameter linear in the location parameters. Strong matching is de/ned using one-sided interval estimates constructed by inverting test quantities. A brief survey of methods for choosing a prior, of...

The hidden Markov model (HMM) is one type of stochastic signal model which is widely used in modeling and classi cation problems. Yet the more advanced statistical inference in this model has been omitted almost in all applications. In this paper we show how to calculate in practise the likelihood based con dence intervals for model parameters and further for the probability of a new case to be...

In this article, we obtain an importance resampling formula to reduce the amount of resampling necessary for the construction of bootstrap con dence regions. In the one-dimensional case, the formula reduces to that of Jones (1988) and Do & Hall (1991). However, the methods employed by previous authors are not tamed for direct generalization to multi-dimensional parameters. Therefore no formula ...

This paper describes a newly developed statistical approach for modelling positional error of geometric features in GIS. The generic statistical models for N-dimensional features are ® rstly derived. The models for oneand twodimensional features are then developed as the speci® c cases of the generic models. In each dimension, the GIS features are classi® ed as points, line segments and line fe...

A robust, task independent spoken Language Identi cation (LID) system which uses a Large Vocabulary Continuous Speech Recognition (LVCSR) module for each language to choose the most likely language spoken is described. The acoustic analysis uses mean cepstral removal on mel scale cepstral coe cients to compensate for di erent input channels. The system has been trained on 5 languages: English, ...

The automatic speech recognition currently arouses a great interest. In particular, the keyword detection which constitutes a signi cant branch of the human-machine interaction and which can help us to communicate with our machines in a natural and direct way by using spontaneous speech. This technique consists in detecting in a pronounced sentence, the keywords characterizing the application a...

This TR discusses aspects of using ground control to validate the computational terrain reconstruction. Image features provided for stereo matching allow to deduce simple confidence measures for reconstructed terrains, and only sufficiently confident terrain points should be validated by the available control data. 1 CITR, Tamaki Campus, University Of Auckland, Auckland, New Zealand Con dence o...