A New Model for Bearing Spall Size Estimation Based on Oil Debris

The Program Evaluation and Review Technique (PERT) model is one of the most popular methods for estimating software size and, sometimes, development effort. It mainly relies on expert judgment to estimate the ultimate size of a project. However, the basic assumption of this technique may be incorrect. The issue addressed in this paper concerns the weakness of the PERT model and proposes applying Erlang distribution to tackle this problem. An example has been included to show the effectiveness of this new model.

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The Hitachi Model HS-8 Electron Microscope

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100061203 ◽

1967 ◽

Vol 25 ◽

pp. 238-239

Author(s):

H. Akabori ◽

K. Nishiwaki ◽

K. Yoneta

Keyword(s):

Electron Microscope ◽

New Model ◽

Predecessor Model

By improving the predecessor Model HS- 7 electron microscope for the purpose of easier operation, we have recently completed new Model HS-8 electron microscope featuring higher performance and ease of operation.

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516: A Simplified Method to Estimate the Absolute Renal Uptake of 99MTC-DMSA: Evaluation with a New Model using the Radioactivity of Nephrectomy Specimens as Reference

The Journal of Urology ◽

10.1016/s0022-5347(18)34756-6 ◽

2005 ◽

Vol 173 (4S) ◽

pp. 140-141

Author(s):

Mariana Lima ◽

Celso D. Ramos ◽

Sérgio Q. Brunetto ◽

Marcelo Lopes de Lima ◽

Carla R.M. Sansana ◽

...

Keyword(s):

New Model ◽

Renal Uptake ◽

Simplified Method ◽

The Absolute

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476 Chronic left atrial volume and pressure overload in the goat: a new model of sustained atrial fibrillation

EP Europace ◽

10.1016/s1099-5129(05)80314-9 ◽

2005 ◽

Vol 7 ◽

pp. 107-107

Keyword(s):

Atrial Fibrillation ◽

Left Atrial ◽

Pressure Overload ◽

Left Atrial Volume ◽

Atrial Volume ◽

New Model

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Analyzing Stochastic Dependence of Cognitive Processes in Multidimensional Source Recognition

Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie) ◽

10.1027/1618-3169/a000261 ◽

2014 ◽

Vol 61 (5) ◽

pp. 402-415 ◽

Cited By ~ 9

Author(s):

Thorsten Meiser

Keyword(s):

Cognitive Processes ◽

Model Complexity ◽

Multinomial Model ◽

Stochastic Dependence ◽

New Model ◽

Multinomial Processing Tree ◽

Cognitive States ◽

The Family ◽

Tree Models ◽

Flexible Framework

Stochastic dependence among cognitive processes can be modeled in different ways, and the family of multinomial processing tree models provides a flexible framework for analyzing stochastic dependence among discrete cognitive states. This article presents a multinomial model of multidimensional source recognition that specifies stochastic dependence by a parameter for the joint retrieval of multiple source attributes together with parameters for stochastically independent retrieval. The new model is equivalent to a previous multinomial model of multidimensional source memory for a subset of the parameter space. An empirical application illustrates the advantages of the new multinomial model of joint source recognition. The new model allows for a direct comparison of joint source retrieval across conditions, it avoids statistical problems due to inflated confidence intervals and does not imply a conceptual imbalance between source dimensions. Model selection criteria that take model complexity into account corroborate the new model of joint source recognition.

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