A structural model of the higher‐order Markov process incorporating reversion effects

Abstract The free vibration behavior of a rotating blade modeled as a laminated composite hollow (single celled) box beam is studied. The geometrically nonlinear structural model developed herein incorporates a number of non-classical effects such as anisotropy, heterogeneity, transverse shear flexibility, and warping inhibition. The centrifugal and Coriolis force field effects are also included. The main focus here being the refinement of the existing model, the traction-free boundary conditions are satisfied here in contrast to the existing model. The resulting linearized equations and numerical results based on them are presented. Results obtained for the present higher-order shearable model are compared with those of the existing first-order shearable and the non-shearable models. Tailoring studies using the present model reveal an enhancement of eigenfrequency characteristics.

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Linking transformational leadership and “multi-dimensions” of project success

International Journal of Managing Projects in Business ◽

10.1108/ijmpb-10-2018-0210 ◽

2019 ◽

Vol 13 (1) ◽

pp. 103-127 ◽

Cited By ~ 10

Author(s):

Umer Zaman ◽

Shahid Nawaz ◽

Sidra Tariq ◽

Asad Afzal Humayoun

Keyword(s):

Transformational Leadership ◽

Structural Equation ◽

Structural Model ◽

Project Success ◽

Higher Order ◽

Project Managers ◽

Second Order ◽

Equation Modeling ◽

Content Type ◽

The Relationship

Purpose Transformational leadership, flexibility and visibility improves project responsiveness to highly unpredictable and impactful events referred as the ‘black swans’ in mega projects (Bloch et al., 2012; Raziq et al., 2018; Zailani et al., 2016). However, these concepts have never been empirically tested in a single framework to determine their significant impact on multi-dimensional project success. The purpose of this paper is to investigate the interactional effects of project flexibility and project visibility on the relationship between transformational leadership and “multi-dimensions” of project success including meeting design goals; impact on customers and benefits to project-based organization. Design/methodology/approach Empirical data derived from cross-sectional survey of 160 project managers from telecom intensive companies in Pakistan were used to test the conceptual framework developed from recent literature. Partial least squares-structural equation modeling (PLS-SEM) provided detailed analysis of the measurement and structural model. The most recent reflective–formative PLS-SEM approach for higher-order constructs has been introduced. Findings The results indicate that project managers’ transformational leadership (β = 0.348, p < 0.01), project flexibility (β = 0.221, p < 0.01) and project visibility (β = 0.366, p < 0.01) are positively related with the multi-dimensional project success (second-order formative) construct. Interestingly, the relationship between transformational leadership and project success is influenced by significantly negative moderations established through project flexibility (β = −0.100, p < 0.01) and project visibility (β = −0.093, p < 0.05). Research limitations/implications This study in the telecom sector examined the interactional effects of risk mitigating strategies (i.e. project flexibility and project visibility) on the relationship between transformational leadership and multi-dimensional project success. This study creates a basis for future investigations extending to various project types and relevant to different industries especially those involving higher-order (formative) assessments of project success. Practical implications The study findings assist project leaders to meet their escalating commitments in achieving project success from a multi-dimensional standpoint. Additionally, this study underscores a renewed perspective of transformational leadership and project outcomes. Despite prevailing understanding developed through prior research, transformational leadership may become less favorable for project success in conditions of increased flexibility and visibility in projects. Originality/value Earlier studies have overlooked the multi-dimensional nature of project success (second-order formative) construct, despite several attempts to examine the interplay between transformational leadership and project success. Based on the knowledge gap and non-existence of empirical evidence, the authors introduced and empirically tested the moderating role of project flexibility and project visibility in the relationship between transformational leadership and multi-dimensional project success.

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Autoregressive logistic processes

Journal of Applied Probability ◽

10.1017/s0021900200038122 ◽

1989 ◽

Vol 26 (03) ◽

pp. 524-531 ◽

Cited By ~ 5

Author(s):

Barry C. Arnold ◽

C. A. Robertson

Keyword(s):

Markov Process ◽

Stochastic Model ◽

Moving Average ◽

Higher Order ◽

Invariant Distribution ◽

Absolutely Continuous ◽

Joint Distributions ◽

Moving Average Processes ◽

Stationary Markov Process

A stochastic model is presented which yields a stationary Markov process whose invariant distribution is logistic. The model is autoregressive in character and is closely related to the autoregressive Pareto processes introduced earlier by Yeh et al. (1988). The model may be constructed to have absolutely continuous joint distributions. Analogous higher-order autoregressive and moving average processes may be constructed.

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Using JAGS for Bayesian Cognitive Diagnosis Modeling: A Tutorial

Journal of Educational and Behavioral Statistics ◽

10.3102/1076998619826040 ◽

2019 ◽

Vol 44 (4) ◽

pp. 473-503 ◽

Cited By ~ 11

Author(s):

Peida Zhan ◽

Hong Jiao ◽

Kaiwen Man ◽

Lijun Wang

Keyword(s):

Gibbs Sampler ◽

Logistic Model ◽

Structural Model ◽

Higher Order ◽

Unified Model ◽

Cognitive Diagnosis ◽

Cognitive Diagnosis Models ◽

Log Linear ◽

Linear Logistic Model ◽

Or Gate

In this article, we systematically introduce the just another Gibbs sampler (JAGS) software program to fit common Bayesian cognitive diagnosis models (CDMs) including the deterministic inputs, noisy “and” gate model; the deterministic inputs, noisy “or” gate model; the linear logistic model; the reduced reparameterized unified model; and the log-linear CDM (LCDM). Further, we introduce the unstructured latent structural model and the higher order latent structural model. We also show how to extend these models to consider polytomous attributes, the testlet effect, and longitudinal diagnosis. Finally, we present an empirical example as a tutorial to illustrate how to use JAGS codes in R.

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STOCHASTIC SOLUTIONS OF A CLASS OF HIGHER ORDER CAUCHY PROBLEMS IN ℝd

Stochastics and Dynamics ◽

10.1142/s021949371000298x ◽

2010 ◽

Vol 10 (03) ◽

pp. 341-366 ◽

Cited By ~ 8

Author(s):

ERKAN NANE

Keyword(s):

Partial Differential Equations ◽

Markov Process ◽

Differential Equations ◽

Stable Process ◽

Higher Order ◽

Cauchy Problems ◽

Partial Differential ◽

Iterated Brownian Motion ◽

Special Cases ◽

First Time

We study solutions of a class of higher order partial differential equations in bounded domains. These partial differential equations appeared first time in the papers of Allouba and Zheng [4], Baeumer, Meerschaert and Nane [10], Meerschaert, Nane and Vellaisamy [37], and Nane [42]. We express the solutions by subordinating a killed Markov process by a hitting time of a stable subordinator of index 0 < β < 1, or by the absolute value of a symmetric α-stable process with 0 < α ≤ 2, independent of the Markov process. In some special cases we represent the solutions by running composition of k independent Brownian motions, called k-iterated Brownian motion for an integer k ≥ 2. We make use of a connection between fractional-time diffusions and higher order partial differential equations established first by Allouba and Zheng [4] and later extended in several directions by Baeumer, Meerschaert and Nane [10].

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