Results 221 to 230 of about 996,598 (373)

Provenance Analysis Based on Cluster In‐Betweenness and Support Vector Machines: Identifying Migrant Candidates Using Multi‐Isotope Fingerprints

Archaeometry, EarlyView.
ABSTRACT Provenance reconstruction using strontium and lead stable isotopes can produce complex multidimensional fingerprints, challenging traditional methods. Identifying nonlocals, who migrated between sites, is a major task. Migrants are identifiable by divergent multi‐isotope fingerprints due to isotopic mixing between origin and destination sites.
Andrea Göhring, Daniyal Kazempour, Jan Robert Bensien, Sweety Mohanty, Claudius Zelenka, Matthias Renz, Peer Kröger, Gisela Grupe, Amei Lang   +8 more
wiley   +1 more source

Solution of the pulse width modulation problem using orthogonal polynomials and Korteweg-de Vries equations

, 1999
D. V. Chudnovsky, G. V. Chudnovsky
openalex   +2 more sources

On Quasi-Orthogonal Polynomials [PDF]

Proceedings of the American Mathematical Society, 1957
openaire   +1 more source

Christoffel Functions and Universality in the Bulk for Multivariate Orthogonal Polynomials

Canadian Journal of Mathematics - Journal Canadien de Mathematiques, 2013
A. Kroó, D. Lubinsky
semanticscholar   +1 more source

Modelling non‐linear psychological processes: Reviewing and evaluating non‐parametric approaches and their applicability to intensive longitudinal data

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Psychological concepts are increasingly understood as complex dynamic systems that change over time. To study these complex systems, researchers are increasingly gathering intensive longitudinal data (ILD), revealing non‐linear phenomena such as asymptotic growth, mean‐level switching, and regulatory oscillations.
Jan I. Failenschmid, Leonie V. D. E. Vogelsmeier, Joris Mulder, Joran Jongerling   +3 more
wiley   +1 more source

A Note on the Dunkl-Appell Orthogonal Polynomials

, 2020
Mabrouk Sghaier
openalex   +1 more source

Reduced rank regression for mixed predictor and response variables

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract In this paper, we propose the generalized mixed reduced rank regression method, GMR3 for short. GMR3 is a regression method for a mix of numeric, binary and ordinal response variables. The predictor variables can be a mix of binary, nominal, ordinal and numeric variables. For dealing with the categorical predictors we use optimal scaling.
Mark de Rooij, Lorenza Cotugno, Roberta Siciliano   +2 more
wiley   +1 more source

Matrix valued orthogonal polynomials of Jacobi type: the role of group representation theory [PDF]

, 2005
F. Alberto Grünbaum, Inés Pacharoni, Juan Tirao   +2 more
openalex   +1 more source

Financial Statement Information and Equity Value: The Role of Real Options Characteristics

Financial Management, EarlyView.
ABSTRACT This paper examines whether firm‐specific real options characteristics are equity value‐relevant beyond valuation estimates anchored in financial statements. Using extensive historical data for the United Kingdom, we assess and compare the forecast accuracy and explanatory power for stock prices of equity valuation models based on residual ...
Mingyu (Chandler) Chen, Colin Clubb, Tarik Driouchi   +2 more
wiley   +1 more source

Maxwell orthogonal polynomials

Angel Alvarez-paredes, Ruymán Cruz‐Barroso, Francisco Marcellán   +2 more
openalex   +1 more source