Skip to main navigation
Skip to search
Skip to main content
Penn State Home
Help & FAQ
Home
Researchers
Research output
Research units
Equipment
Grants & Projects
Prizes
Activities
Search by expertise, name or affiliation
Introduction to Functional Data Analysis
Piotr Kokoszka, Matthew Reimherr
Statistics
Research output
:
Book/Report
›
Book
332
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Introduction to Functional Data Analysis'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Functional Data Analysis
100%
Advanced Undergraduate
100%
Advanced Research
50%
Probability Theory
50%
Environmental Science
50%
Functional Data
50%
Public Health
50%
Scalar
50%
Practical Guidance
50%
Data Analytics
50%
Statistical Inference
50%
Self-study
50%
Equal Length
50%
Calculus
50%
Mathematical Framework
50%
Hilbert Space
50%
Specific Topic
50%
Public Science
50%
Medical Research
50%
Linear Algebra
50%
Long-course
50%
Applied Mathematics
50%
PhD Students
50%
QR Code
50%
R Programming
50%
MS Student
50%
Functional Regression Model
50%
Mathematics
Functional Data
100%
Regression Model
25%
Data Analytics
25%
Inferential Statistics
25%
Hilbert Space
25%
Exploratory
25%
Calculus
25%
Linear Algebra
25%
Applied Mathematics
25%
Equal Length
25%
Economics, Econometrics and Finance
Nutrition Policy
100%
Data Analytics
100%
Engineering
Linear Algebra
100%