Multivariate Analysis
Multivariate analysis (MVA) is based on the principles of multivariate statistics, which involves observation and analysis of more than one statistical outcome variable at a time. Typically, MVA is used to address the situations where multiple measurements are made on each experimental unit and the relations among these measurements and their structures are important. A modern, overlapping categorization of MVA includes: Normal and general multivariate models and distribution theory The study and measurement of relationships Probability computations of multidimensional regions The exploration of data structures and patternsMultivariate analysis can be complicated by the desire to include physics-based analysis to calculate …
WikipediaPublications
NBER: National Bureau of Economic Research · 18 April 2024 English
Financial reports present assets, liabilities, and earnings on a nominal basis (unadjusted for inflation). Using a novel dataset of nearly a century of financial reports, this paper examines whether and …
controlling for macroeconomic variables in multivariate analysis. 5. Aggregate-Level Results 5.1. Main …
PNG NRI: PNG National Research Institute · 18 April 2024 English
The study reported in this paper is to review published and unpublished papers that focus on how to make services including those provided by a helpline available and accessible to …
quantitative (Survey) followed year. In multivariate analysis, two factors married women? a mixed married …
PICES: North Pacific Marine Science Organization · 17 April 2024 English
All names and claims expressed in this book of abstracts are solely those of the authors and do not represent those of the PICES Organization, nor those of their affiliated …
replication done in 2016, we are utilising multivariate analysis to prioritise the most relevant indicators …
World Bank Group · 5 April 2024 English
Despite the multitude of measures of multidimensional inequality, none is regularly used in policymaking. This paper proposes multidimensional inequality measures that are easily implementable and transparent and overcome many deficiencies …
probability and statistics.” Journal of Multivariate Analysis, 25, pp. 286–298. Bosmans, K., Decancq … “Multivariate Gini indices.” Journal of Multivariate Analysis, 60, pp. 252-276. Lugo, M.A., (2007) …
World Bank Group · 4 April 2024 English
Despite the multitude of measures of multidimensional inequality, none is regularly used in policymaking. This paper proposes multidimensional inequality measures that are easily implementable and transparent and overcome many deficiencies …
probability and statistics.” Journal of Multivariate Analysis, 25, pp. 286–298. Bosmans, K., Decancq … “Multivariate Gini indices.” Journal of Multivariate Analysis, 60, pp. 252-276. Lugo, M.A., (2007) …
NBER: National Bureau of Economic Research · 27 March 2024 English
Blended finance---the use of public and philanthropic funding to crowd in private capital---is a potential way to finance a more sustainable world. While blended finance holds the promise of being …
sector Financial sector Appendix Table C. Multivariate analysis of political risk and information asymmetries …
26 March 2024 English
This report – Volume 2 of the SERL Statistical Reports Series – describes domestic gas and electricity energy use in Great Britain in 2022 and 2023 based on data from …
factors correlate requires more detailed multivariate analysis which is outside the scope of this report …
IMF: International Monetary Fund · 22 March 2024 English
How to make forecasts that (1) satisfy constraints, like accounting identities, and (2) are smooth over time? Solving this common forecasting problem manually is resource-intensive, but the existing literature provides …
Large-Dimensional Covariance Matrices,” Journal of Multivariate Analysis. Loning, Markus, Anthony Bagnall, Sajaysurya …
ALIGN: Advancing Learning and Innovation on Gender Norms · 11 March 2024 English
Female business ownership varied across and within regions, from lows of 18% in South Asia and 19% in the Middle East and North Africa, to highs of 47% in East …
Program P Group education programmes over 5–7 Multivariate analysis of baseline Pilot in Lebanon weeks for husbands …
The European Agency for Safety and Health at Work · 8 March 2024 English
DISCUSSION PAPER EXPLORING THE GENDER DIMENSION OF TELEWORK: IMPLICATIONS FOR OCCUPATIONAL SAFETY AND HEALTH 1 Introduction The massive shift to telework during the COVID-19 pandemic, and the extension of hybrid …
Gender Equality (EIGE), 2022). However, multivariate analysis of LFS data in 2019 and 2020 (Eurofound … other work-health-related problems). The multivariate analysis was first carried out on the EWCS dataset …
