High risk scenarios and extremes : a geometric approach, Guus Balkema, Paul Embrechts
Resource Information
The instance High risk scenarios and extremes : a geometric approach, Guus Balkema, Paul Embrechts represents a material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
The Resource
High risk scenarios and extremes : a geometric approach, Guus Balkema, Paul Embrechts
Resource Information
The instance High risk scenarios and extremes : a geometric approach, Guus Balkema, Paul Embrechts represents a material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
- Label
- High risk scenarios and extremes : a geometric approach, Guus Balkema, Paul Embrechts
- Title remainder
- a geometric approach
- Statement of responsibility
- Guus Balkema, Paul Embrechts
- Bibliography note
- Includes bibliographical references (p. ([361]-368) and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- univariate theory: maxima and exceedances
- Componentwise maxima
- High risk scenarios
- The
- Gauss-exponential domain, rotund sets
- The
- Gauss-exponential domain, unimodal distributions
- Flat functions and flat measures
- Heavy tails and bounded vectors
- The
- Foreword -- Introduction
- multivariate GPDs
- Exceedances over horizontal thresholds
- Horizontal thresholds -- examples
- Heavy tails and eliptic thresholds
- Heavy tails -- examples
- Regular variation and excess measures
- Point processes
- Poisson point processes
- The
- distribution
- Convergence
- Converging sample clouds
- The
- Control code
- 191922927
- Dimensions
- 24 cm
- Extent
- xiii, 375 pages
- Isbn
- 9783037190357
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Record ID
- .b62222156
- System control number
- (OCoLC)191922927
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