TY  - BOOK
AU  - Mun,Johnathan C.
TI  - Quantitative research methods: applying econometrics, multivariate regression, artificial intelligence, machine learning, data science, parametric and nonparametric hypothesis testing, monte carlo risk simulation, predictive modeling, and optimization 
SN  - 9781734497335
U1  - 300.72 23
PY  - 2022///
CY  - Florida : 
PB  - ROV Press
KW  - Investigación cuantitativa
KW  - Programas para computador
KW  - Estadística matemática
KW  - Análisis
KW  - Probabilidades
KW  - Modelos matemáticos
KW  - Distribución (teoría de la probabilidad)
KW  - Análisis de regresión
KW  - Prueba de hipótesis estadística
N1  - Incluye referencias (797-799); Incluye índice de términos (801-819); Chapter 1. Research basics ; Chapter 2. Overview of applied statistical and quatitative methods ; Chapter  3. Descriptive statistics ; Chapter 4. Basic probability ; Chapter 5. Discrete probability distributions ; Chapter 6. Continuous probability distributions ; Chapter 7. Hypothesis testing approaches ; Chapter 8. ROV bizstats ; Chapter 9. Statistical methods for two or more variables ; Chapter 10. Quick reference guide: analytics ; Chapter 11. Forecasting and predictive modeling: tomorrow's forecast today ; Chapter 12. Forecasting ad predictive modeling: using the past to predict the future ; Chapter 13. Monte carlo simulation: on the shores of Monaco ; Chapter 14. Test driving risk simulator ; Chapter 15. Advanced data analytics: pandora's toolbox ; Chapter 16. Optimization: the search for the optimal decision ; Chapter 17. Optimization under uncertainty
N2  - The study of quantitative research methods generally revolves around the applications of statistics and statistical theory. Basic statistics can be divided into two categories: descriptive and inferential. Inferential statistics are the statistical methods used to reach conclusions about the associations and relationships between different variables through hypothesis testing, which are reached through the structured development of intelligent questions to be answered in the investigation. Descriptive statistics, by contrast, are explicitly designed to describe the fundamental characteristics of a data set, such as its distribution moments
ER  -