In the hydrologic analysis of extreme events such as precipitation or floods, the data can generally be divided into two types: partial duration series and annual maximum series. Partial duration series analysis is a robust method to analyze hydrologic extremes, but the adaptive choice of an optimal threshold is challenging. The main goal of this paper was to determine the best method for choos...

Except for a few simple digital modulation techniques, derivation of average bit error probability over fading channels is difficult and is an involved process. In this letter, curve fitting technique has been employed to express bit error probability over AWGN of any digital modulation scheme in terms of a simple Gaussian function. Using this Gaussian function, a generalized closed form expres...

| In this work, we present two bounds (one lower bound and one upper bound) on the probability of a union of a nite number of events. The bounds { which are expressed in terms of only the individual event probabilities and the pairwise event probabilities { are applied to examine the symbol error (P s ) and bit error (P b ) probabilities of an uncoded communication system used in conjunction wi...

Different typing devices lead to different typing error patterns. In addition, different persons using the same device have different error patterns. Considering this, we propose and evaluate a spelling algorithm specifically designed for a five-key chording keyboard. It uses the maximum a posteriori probability rule, the probabilities that one character is typed for another, named confusion pr...

Positioning service is one of Wireless Sensor Networks’ (WSNs) fundamental services. The accurate position of the sensor nodes plays a vital role in many applications of WSNs. In this paper, a 3D positioning algorithm is being proposed, using mobile anchor node to assist sensor nodes in order to estimate their positions in a 3D geospatial environment. However, mobile anchor node’s 3D path optim...

The application of current generation computing machines in safety-centric applications like implantable biomedical chips and automobile safety has immensely increased the need for reviewing the worst-case error behavior of computing devices for fault-tolerant computation. In this work, we propose an exact probabilistic error model that can compute the maximum error over all possible input spac...

The main purpose of this dissertation is to estimate the individual bit-error probabilities of binary symbols or codewords while they are being received. It turns out that the bit-error probabilities are a function of the received-bit amplitudes and the channel noise power, both of which are assumed to be unknown a-priori at the receiver. In this study coherent detection is implemented with a C...

A number of important methodological issues in statistical modeling and inference depend crucially on the notion of statistical induction adopted. An attempt is made to articulate the notion of statistical induction underlying modern frequentist inference going back to Fisher (1922). The paper brings out the differences in the nature of inductive inference associated with estimation and predict...

In this paper, we evaluate the performance of error trapping decoding when used to protect data over a mobile radio channel. The channel is represented by the Gilbert-Elliott(GE) model, with its parameters related to the physical quantities determining the fading statistics. Simulations are used to evaluate codeword and bit error probabilities for three different error correcting codes for a nu...