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Dual Fit: The simultaneous Effects of Intrapersonal and Interpersonal Regulatory Fit on Motivation
Academy of Management Proceedings, 2019This paper introduces the concept of dual fit, which represents the simultaneous occurrence of intrapersonal and interpersonal regulatory fit.
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Simultaneous curve fitting for repeated height–diameter measurements
Canadian Journal of Forest Research, 1991A simultaneous curve-fitting procedure for obtaining a set of tree height–diameter curves that do not cross, for a plot measured on several occasions, is described. It involves restricting one parameter of a three-parameter equation to be the same for all measurement occasions, keeping another parameter fixed for each measurement occasion, and ...
S. A. Y. Omule, R. N. Macdonald
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ConvexSmooth: A simultaneous convex fitting and smoothing algorithm for convex optimization problems
7th International Symposium on Quality Electronic Design (ISQED'06), 2006Convex optimization problems are very popular in the VLSI design society due to their guaranteed convergence to a global optimal point. Table data is often fitted into analytical forms like posynomials to make them convex. However, fitting the look-up tables into posynomial forms with minimum error itself may not be a convex optimization problem and ...
Sanghamitra Roy, Charlie Chung-Ping Chen
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Simultaneous rotation and translation fitting of two 3-D point sets
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 1997A single-stage linear method is devised in this paper to simultaneously fit rotation and translation (pose) parameters given two sets of three-dimensional (3-D) point measurements. The necessary and sufficient conditions for the unique solution of the pose determination problem are stated. The computational complexity of the new algorithm is similar to
Hanqi Zhuang, Raghavan Sudhakar
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Simultaneous fitting of several planes to point sets using neural networks
Computer Vision, Graphics, and Image Processing, 1990It is a simple problem to fit one line to a collection of points in the plane. But when the problem is generalized to two or more lines then the problem complexity becomes exponential in the number of points because we must decide on a partitioning of the points among the lines they are to fit.
Behrooz Kamgar-Parsi +2 more
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American Journal of Management, 2019
Drawing from regulatory focus and regulatory fit theories, this paper introduces a framework for understanding the simultaneous occurrence of intrapersonal and interpersonal regulatory fit. The Dual Fit Perspective (DFP) proposes that different combinations of intrapersonal and interpersonal regulatory fit (i.e., Dual Fit) have varying influences on ...
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Drawing from regulatory focus and regulatory fit theories, this paper introduces a framework for understanding the simultaneous occurrence of intrapersonal and interpersonal regulatory fit. The Dual Fit Perspective (DFP) proposes that different combinations of intrapersonal and interpersonal regulatory fit (i.e., Dual Fit) have varying influences on ...
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Use of Simultaneous Computer Fitting to Estimate the Apparent Absorption Rate Constant
Journal of Pharmaceutical Sciences, 1986In this study we explored an alternative approach to specifically determine the apparent absorption rate constant (ka) and the initial disposition macro-rate constant (alpha) without intravenous dose data. Data sets were simulated with ka values in a range of +/- 70% of alpha.
K R, Brouwer, P J, McNamara
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Fitting matrix-valued variogram models by simultaneous diagonalization (Part I: Theory)
Mathematical Geology, 1995Suppose that ¯(x1),...,¯Z(xn). are observations of vector-valued random function ¯(x). In the isotropic situation, the sample variogram γ*(h) for a given lag h is $$\bar \gamma ^ * (h) = \frac{1}{{2N(h)}}\mathop \sum \limits_{s(h)} (\overline Z (x_1 ) - \overline Z (x_1 )) \overline {(Z} (x_1 ) - \overline Z (x_1 ))^T $$ where s(h) is a set of ...
Xie, Tailiang, Myers, Donald E.
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2014
In the robotic world, SLAM (Simultaneous Localization And Mapping) is a well-known and difficult problem. For solving this problem many solutions have been presented that are generally based on two methods (tools): EKF (Extended Kalman Filter) and Particle Filter.
Mohsen Mahrami +2 more
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In the robotic world, SLAM (Simultaneous Localization And Mapping) is a well-known and difficult problem. For solving this problem many solutions have been presented that are generally based on two methods (tools): EKF (Extended Kalman Filter) and Particle Filter.
Mohsen Mahrami +2 more
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A simultaneous testing of independence and goodness-of-fit in nonlinear regression models
Statistics and Its InterfacezbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xu, Kai, Tang, Nan
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