Skip to main navigation
Skip to search
Skip to main content
Lund University Home
English
Svenska
Search content at Lund University
Home
Profiles
Research output
Projects
Units
Infrastructure
Activities
Prizes and Distinction
Datasets
Crossings and maxima in Gaussian fields and seas
Eva Sjö
Mathematical Statistics
Research output
:
Thesis
›
Doctoral Thesis (compilation)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Crossings and maxima in Gaussian fields and seas'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Variables
100%
Random Field
83%
Ergodic
66%
Stochastic Process
33%
Gaussian Distribution
33%
Cross Level
33%
Numerical Approximation
16%
Number
16%
Points
16%
Probability Distribution
16%
Parameter Space
16%
Density Function
16%
Stationary Process
16%
Confidence Region
16%