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Handbook of Transport Systems and Traffic Control
Type: Book
ISBN: 978-1-61-583246-0

Book part
Publication date: 30 October 2019

Thomas O'Donoghue and Keith Moore

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Teacher Preparation in Australia: History, Policy and Future Directions
Type: Book
ISBN: 978-1-78743-772-2

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Book part
Publication date: 11 June 2018

Jed Donoghue and Bruce Tranter

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Exploring Australian National Identity
Type: Book
ISBN: 978-1-78756-503-6

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Teacher Preparation in Australia: History, Policy and Future Directions
Type: Book
ISBN: 978-1-78743-772-2

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The Creative PhD: Challenges, Opportunities, Reflection
Type: Book
ISBN: 978-1-83982-790-7

Book part
Publication date: 21 November 2018

Kathy Rushton and Jon Callow

While visual arts, drama, dance and music have been used to enhance literacy learning for many decades in preschool and primary classrooms, engaging with mobile learning can also…

Abstract

While visual arts, drama, dance and music have been used to enhance literacy learning for many decades in preschool and primary classrooms, engaging with mobile learning can also provide many opportunities for young learners to explore and develop language and literacy. The use of mobile devices is of particular interest as technology has an impact on pedagogy and the mobility of digital devices provides many opportunities for engaged and meaningful literacy learning when teamed with the arts. In this chapter, we define the arts and their relationship with literacy learning before exploring a number of resources and practices for integrating their use in early learning settings.

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Mobile Technologies in Children’s Language and Literacy
Type: Book
ISBN: 978-1-78714-879-6

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Teacher Preparation in Australia: History, Policy and Future Directions
Type: Book
ISBN: 978-1-78743-772-2

Abstract

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Attaining the 2030 Sustainable Development Goal of Quality Education
Type: Book
ISBN: 978-1-80382-475-8

Book part
Publication date: 18 October 2019

Debajit Dutta, Subhra Sankar Dhar and Amit Mitra

Stochastic volatility models are of great importance in the field of mathematical finance, especially for accurately explaining the dynamics of financial derivatives. A…

Abstract

Stochastic volatility models are of great importance in the field of mathematical finance, especially for accurately explaining the dynamics of financial derivatives. A quantile-based estimator for the location parameter of a stochastic volatility model is proposed by solving an optimization problem. In this chapter, the asymptotic distribution of the estimator is derived without assuming that the density function of the noise is positive around the corresponding population quantile. We also discuss a Bayesian approach to the quantile estimation problem and establish a result regarding the nature of the posterior distribution.

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Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part B
Type: Book
ISBN: 978-1-83867-419-9

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