Structural dynamic testing is concerned with the estimation of system properties, including frequency response functions and modal characteristics. These properties are derived from tests on the structure of interest, during which excitations and responses are measured and Fourier techniques are used to reduce the data zhe inputs used in a test are frequently random, and they excite random resp...

This paper discusses properties of several statistical parameters that are useful in judging the quality of least-squares fits of experimental data and in interpreting least-squares results. The presentation includes simplified equations that emphasize similarities and dissimilarities among the standard error of estimate, the standard deviations of slopes and intercepts, the correlation coeffic...

Femur parameters are key prerequisites for scientifically designing anatomical plates. Meanwhile, individual differences in femurs present a challenge to design well-fitting anatomical plates. Therefore, to design anatomical plates more scientifically, analyses of femur parameters with statistical methods were performed in this study. The specific steps were as follows. First, taking eight anat...

Optimizing the acquisition parameters for EELS recording has to be accomplished simultaneously from the physical and the statistical points of view; the statistical aspect of the question is covered here. Approximate probability density functions of the variables of interest are derived, which provide a global measure of signal-to-noise ratio taking into account every step of the EELS edge area...

The R package bclust is useful for clustering high-dimensional continuous data. The package uses a parametric spike-and-slab Bayesian model to downweight the effect of noise variables and to quantify the importance of each variable in agglomerative clustering. We take advantage of the existence of closed-form marginal distributions to estimate the model hyper-parameters using empirical Bayes, t...

HEAD DRIVEN STATISTICAL MODELS FOR NATURAL LANGUAGE PARSING Michael Collins Supervisor Professor Mitch Marcus Statistical models for parsing natural language have recently shown considerable suc cess in broad coverage domains Ambiguity often leads to an input sentence having many possible parse trees statistical approaches assign a probability to each tree thereby rank ing competing trees in or...

Nanometer CMOS VLSI circuits are highly sensitive to soft errors, also known as single-event upsets (SEU) that induce current pulses at random times and at random locations in a digital circuit. Environmental causes of SEU include cosmic radiation and high-energy particles. Our neutron induced soft error rate (SER) estimation method propagates single event transient (SET) pulses through the aff...

Introduction. Statistical information for LCA is increasingly becoming available in databases. At the same time, processing of statistical information is increasingly becoming easier by software for LCA. A practical problem is that there is no unique unambiguous representation for statistical distributions. Representations. This paper discusses the most frequently encountered statistical distri...

We present a novel scheme to recognize isolated speech signals using certain statistical parameters derived from those signals. The determination of the statistical estimates is based on extracted signal information rather than the original signal information in order to reduce the computational complexity. Subtle details of these estimates, after extracting the speech signal from ambience nois...

[1] Sea surface height (SSH) measurements from the Geosat satellite altimetry mission are analyzed to statistically characterize their noise process, which is defined here as the small-scale (<50 km), timevarying component of the altimetry data. This analysis is one component of a larger effort to extract meaningful information about seafloor roughness from the small-scale fabric of the altimet...