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Empirical Modeling and Data Analysis for Engineers and Applied Scientists
This textbook teaches advanced undergraduate and first-year graduate students in Engineering and Applied Sciences to gather and analyze empirical observations (data) in order to aid in making design decisions. While science is about discovery, the primary paradigm of engineering and "applied science" is design. Scientists are in the discovery business and want, in general, to understand the …
- Edition
- -
- ISBN/ISSN
- 978-3-319-32768-6
- Collation
- 40 b/w illustrations, 61 illustrations in colour
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Modern Methodology and Applications in Spatial-Temporal Modeling
This book provides a modern introductory tutorial on specialized methodological and applied aspects of spatial and temporal modeling. The areas covered involve a range of topics which reflect the diversity of this domain of research across a number of quantitative disciplines. For instance, the first chapter deals with non-parametric Bayesian inference via a recently developed framework known a…
- Edition
- 1
- ISBN/ISSN
- 978-4-431-55338-0
- Collation
- XV, 111
- Series Title
- SpringerBriefs in Statistics
- Call Number
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Model-Free Prediction and Regression
The Model-Free Prediction Principle expounded upon in this monograph is based on the simple notion of transforming a complex dataset to one that is easier to work with, e.g., i.i.d. or Gaussian. As such, it restores the emphasis on observable quantities, i.e., current and future data, as opposed to unobservable model parameters and estimates thereof, and yields optimal predictors in diverse set…
- Edition
- 1
- ISBN/ISSN
- 978-3-319-21346-0
- Collation
- XVII, 246
- Series Title
- Frontiers in Probability and the Statistical Sciences
- Call Number
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Modeling Binary Correlated Responses using SAS, SPSS and R
Statistical tools to analyze correlated binary data are spread out in the existing literature. This book makes these tools accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages that are tailored to analyzing correlated binary data. The authors showcase both traditional and new methods for application to health-related resear…
- Edition
- 1
- ISBN/ISSN
- 978-3-319-23804-3
- Collation
- XXIII, 264
- Series Title
- ICSA Book Series in Statistics
- Call Number
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Modeling Discrete Time-to-Event Data
This book focuses on statistical methods for the analysis of discrete failure times. Failure time analysis is one of the most important fields in statistical research, with applications affecting a wide range of disciplines, in particular, demography, econometrics, epidemiology and clinical research. Although there are a large variety of statistical methods for failure time analysis, many techn…
- Edition
- 1
- ISBN/ISSN
- 978-3-319-28156-8
- Collation
- X, 247
- Series Title
- Springer Series in Statistics
- Call Number
- -
Survey of Computational Methods for Inverse Problems
Inverse problems occur in a wide range of scientific applications, such as in the fields of signal processing, medical imaging, or geophysics. This work aims to present to the field practitioners, in an accessible and concise way, several established and newer cutting-edge computational methods used in the field of inverse problems—and when and how these techniques should be employed.
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- ISBN/ISSN
- 9781789231922
- Collation
- -
- Series Title
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Computational Spectrum of Agent Model Simulation
Computational Spectrum of Agent Model Simulation
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- ISBN/ISSN
- 9789533070551
- Collation
- -
- Series Title
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Applications of Soft Computing in Engineering Problems
Applications of Soft Computing in Engineering Problems
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- ISBN/ISSN
- 9789533070483
- Collation
- -
- Series Title
- -
- Call Number
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Towards Conformal interstitial Light Therapies
Towards Conformal Interstitial Light Therapies: Modelling Parameters, Dose Definitions and Computational Implementation
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- ISBN/ISSN
- 9789533071343
- Collation
- -
- Series Title
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Computer Simulation of Bioprocess
Bioprocess optimization is important in order to make the bioproduction process more efficient and economic. The conventional optimization methods are costly and less efficient. On the other hand, modeling and computer simulation can reveal the mechanisms behind the phenomenon to some extent, to assist the deep analysis and efficient optimization of bioprocesses. In this chapter, modeling and c…
- Edition
- -
- ISBN/ISSN
- 9789535132059
- Collation
- -
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