A long running challenge in both large and small organizations has been aligning information systems services with business needs. Good alignment is assumed to lead to good business results, but there is a need for good instruments to assess strategic alignment and business success in practice. Based on existing information management theories, we develop the I-Fit model and the I-Fit tool. The...

Given a matrix $M = (a_{i,j})$ square is $2 \times 2$ submatrix with entries $a_{i,j}$, $a_{i, j+s}$, $a_{i+s, j}$, j +s}$ for some $s \geq 0$, and zero-sum where the sum to $0$. Recently, Arévalo, Montejano Roldán-Pensado proved that all large $n n$ $\{-1,1\}$-matrices $M$ discrepancy $|\sum a_{i,j}| \leq contain unless they are split. We improve this bound by showing at most $n^2/4$ either sp...

A real polynomial in n variables is called nonnegative if it is greater than or equal to 0 at all points in R. It is a central question in real algebraic geometry whether a nonnegative polynomial can be written in a way that makes its nonnegativity apparent, i.e. as a sum of squares of polynomials (or more general objects). Algorithms to obtain such representations, when they are known, have ma...

In this paper, we extend Bai and Perron’s (1998, Econometrica, pp. 47-78) method for detecting multiple breaks to nonlinear models. To that end, we consider an unstable univariate nonlinear least squares (NLS) model with a limited number of parameter shifts occurring at unknown dates. In our framework, the break-dates are simultaneously estimated with the parameters via minimization of the resi...

in this research, performance of pattern search algorithm (ps) was investigated in order to optimize the nonlinear muskingum model parameters in contrast with the general algorithms, for wilson and karoun floods routing. wilson flood routing has been chosen to compare the ability of ps algorithm with other algorithms and, karoun flood routing has been chosen for a better evaluation of ps. the r...

Proposed by Tibshirani (1996), the LASSO (least absolute shrinkage and selection operator) estimates a vector of regression coefficients by minimising the residual sum of squares subject to a constraint on the l-norm of coefficient vector. The LASSO estimator typically has one or more zero elements and thus shares characteristics of both shrinkage estimation and variable selection. In this pape...

Musical fit, the congruence between music and product leading to improved response, is presented as an explanation of differences in recall of food items from two cultures. Musical fit predicts that, in this case, more Indian food items would be recalled when Indian music was playing, and more Malay food items would be recalled when Malay music was played. The underlining premise of this predic...

Fit testing of tight-fitting respiratory protective facepieces has been in use for some years, but there are still widespread misconceptions and misunderstandings about what a fit test pass actually signifies. Various aspects frequently generate research papers, and there are three relevant ones in this issue (Han and Lee, 2005; Kuo et al., 2005; Vaughan and RajanSithamparanadarajah, 2005). In ...

Coefficient of determination (R (2)) and its leave-one-out cross-validated analogue (denoted by Q (2) or R cv (2) ) are the most frequantly published values to characterize the predictive performance of models. In this article we use R (2) and Q (2) in a reversed aspect to determine uncommon points, i.e. influential points in any data sets. The term (1 - Q (2))/(1 - R (2)) corresponds to the ra...