Coverart for item
The Resource Identifiability and Regression Analysis of Biological Systems Models : Statistical and Mathematical Foundations and R Scripts, by Paola Lecca, (electronic resource)

Identifiability and Regression Analysis of Biological Systems Models : Statistical and Mathematical Foundations and R Scripts, by Paola Lecca, (electronic resource)

Label
Identifiability and Regression Analysis of Biological Systems Models : Statistical and Mathematical Foundations and R Scripts
Title
Identifiability and Regression Analysis of Biological Systems Models
Title remainder
Statistical and Mathematical Foundations and R Scripts
Statement of responsibility
by Paola Lecca
Creator
Subject
Language
eng
Summary
This richly illustrated book presents the objectives of, and the latest techniques for, the identifiability analysis and standard and robust regression analysis of complex dynamical models. The book first provides a definition of complexity in dynamic systems by introducing readers to the concepts of system size, density of interactions, stiff dynamics, and hybrid nature of determination. In turn, it presents the mathematical foundations of and algorithmic procedures for model structural and practical identifiability analysis, multilinear and non-linear regression analysis, and best predictor selection. Although the main fields of application discussed in the book are biochemistry and systems biology, the methodologies described can also be employed in other disciplines such as physics and the environmental sciences. Readers will learn how to deal with problems such as determining the identifiability conditions, searching for an identifiable model, and conducting their own regression analysis and diagnostics without supervision. Featuring a wealth of real-world examples, exercises, and codes in R, the book addresses the needs of doctoral students and researchers in bioinformatics, bioengineering, systems biology, biophysics, biochemistry, the environmental sciences and experimental physics. Readers should be familiar with the fundamentals of probability and statistics (as provided in first-year university courses) and a basic grasp of R.--
Member of
Assigning source
Provided by publisher
http://library.link/vocab/creatorName
Lecca, Paola
Image bit depth
0
Literary form
non fiction
Nature of contents
dictionaries
Series statement
  • SpringerBriefs in Statistics,
  • Springer eBooks.
http://library.link/vocab/subjectName
  • Statistics
  • Systems biology
  • Biostatistics
  • Biomathematics
Label
Identifiability and Regression Analysis of Biological Systems Models : Statistical and Mathematical Foundations and R Scripts, by Paola Lecca, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=https://doi.org/10.1007/978-3-030-41255-5
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
1 Complex systems and sets of data -- 2 Dynamic models -- 3 Model identifiability -- 4 Relationships between phenomena -- 5 Codes
Control code
978-3-030-41255-5
Dimensions
unknown
Edition
1st ed. 2020.
Extent
1 online resource (X, 82 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Isbn
9783030412555
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
13 illustrations, 8 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1144874208
Label
Identifiability and Regression Analysis of Biological Systems Models : Statistical and Mathematical Foundations and R Scripts, by Paola Lecca, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=https://doi.org/10.1007/978-3-030-41255-5
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
1 Complex systems and sets of data -- 2 Dynamic models -- 3 Model identifiability -- 4 Relationships between phenomena -- 5 Codes
Control code
978-3-030-41255-5
Dimensions
unknown
Edition
1st ed. 2020.
Extent
1 online resource (X, 82 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Isbn
9783030412555
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
13 illustrations, 8 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1144874208

Library Locations

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