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Creative Curriculum for Infants, Toddlers and Twos

Creative Curriculum for Infants, Toddlers and Twos - 2nd edition

ISBN13: 978-1879537996

Cover of Creative Curriculum for Infants, Toddlers and Twos 2ND 06 (ISBN 978-1879537996)
ISBN13: 978-1879537996
ISBN10: 1879537990
Cover type:
Edition/Copyright: 2ND 06
Publisher: Teaching Strategies
Published: 2006
International: No

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Creative Curriculum for Infants, Toddlers and Twos - 2ND 06 edition

ISBN13: 978-1879537996

Amy Laura Dombro

ISBN13: 978-1879537996
ISBN10: 1879537990
Cover type:
Edition/Copyright: 2ND 06
Publisher: Teaching Strategies

Published: 2006
International: No
Summary

The Creative Curriculum for Infants, Toddlers & Twos helps teachers appreciate and find joy in the everyday discoveries that delight a child-the sound a rattle makes; the leaves blowing in circles by the wind; the ball that unexpectedly rolls across a child's path; the ants marching across the pavement. It is a comprehensive curriculum that helps teachers achieve the very best program for children under three. If the interactions children have are nurturing, consistent, and loving, and the experiences they have are appropriately challenging, then infants, toddlers, and twos grow and flourish. In such an environment, children learn to trust and joyfully explore their surroundings, making discoveries and developing a sense of themselves as competent learners and caring human beings.

Author Bio

RUEY S. TSAY, PhD, is H. G. B. Alexander Professor of Econometrics and Statistics at the University of Chicago Booth School of Business. Dr. Tsay has written over 100 published articles in the areas of business and economic forecasting, data analysis, risk management, and process control, and he is the coauthor of A Course in Time Series Analysis (Wiley). Dr. Tsay is a Fellow of the American Statistical Association, the Institute of Mathematical Statistics, the Royal Statistical Society, and Academia Sinica.

Table of Contents

Table of Contents
1 Financial time series and their characteristics 1
2 Linear time series analysis and its applications 24
3 Conditional heteroscedastic models 97
4 Nonlinear models and their applications 154
5 High-frequency data analysis and market microstructure 206
6 Continuous-time models and their applications 251
7 Extreme values, quantile estimation, and value at risk 287
8 Multivariate time series analysis and its applications 339
9 Principal component analysis and factor models 405
10 Multivariate volatility models and their applications 443
11 State-space models and Kalman filter 490
12 Markov chain Monte Carlo methods with applications 543

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