Applied regression : an introduction /

Applied regression : an introduction /

Bibliografiske detaljer
Hovedforfatter:	Lewis-Beck, Michael S.
Format:	Bog
Sprog:	English
Udgivet:	Beverly Hills, Calif. ; New Delhi : Sage Publications, c1980.
Serier:	Sage university papers series. no. 07-022
Fag:	Regression analysis.
Classic Catalogue:	View this record in Classic Catalogue

Lignende værker

Multiple regression in behavioral research
af: Kerlinger, Fred N. (Fred Nichols), 1910-
Udgivet: (1973)

Multiple regression in practice /
af: Berry, William Dale
Udgivet: (1985)

Logistic regression : a self-learning text /
af: Kleinbaum, David G.
Udgivet: (2002)

Bayesian smoothing and regression for longitudinal, spatial and event history data
af: Fahrmeir, L.

Nonparametric bootstrapping for multiple logistic regression model using R
af: Hossain, Ahmed, et al.
Udgivet: (2010)

Statistical analysis of network data flows and predictions using statistical and machine learning regression models
af: Boateng, Albert, et al.
Udgivet: (2024)

Mathematical modeling of health service utilization data using multiple logistic regression
af: Shrestha, Gauri, et al.
Udgivet: (2012)

Regression
af: Fahrmeir
Udgivet: (2013)

A voice signal based gender prediction model using random forest classifier
af: Ahmed, Saif, et al.
Udgivet: (2018)

Predicting stock market trend from twitter feed and building a framework for Bangladesh
af: Karim, Shabab, et al.
Udgivet: (2018)

Statistical analysis of network data flows and predictions using statistical and machine learning regression models
af: Boateng, Albert, et al.
Udgivet: (2024)

Polycystic ovary syndrome detection using neural network.
af: Istiyaq, Tahsin, et al.
Udgivet: (2024)

Public vehicle ETA system using machine learning
af: Kabir, Md. Miraz, et al.
Udgivet: (2018)

Nonrecursive causal models /
af: Berry, William Dale
Udgivet: (1984)

Seasonality in Regression
af: Hylleberg, Svend
Udgivet: (1986)

Logistische Regression
af: Kalisch
Udgivet: (2021)

Seasonality in Regression
af: Hylleberg, Svend
Udgivet: (1986)

Flood prediction using ensemble machine learning models
af: Rahman, Tanvir
Udgivet: (2024)

A thesis on utilizing machine learning models to predict material hardship
af: Das, Tirtha
Udgivet: (2024)

Credibility of TV news in a developing country: the case of Bangladesh
af: Andaleeb, Syed Saad, et al.
Udgivet: (2016)

Mostly harmless econometrics : an empiricist's companion /
af: Angrist, Joshua David
Udgivet: (2009)

Performance analysis of machine learning algorithms in resume recommendation systems
af: Hasan, Ibteaz, et al.
Udgivet: (2018)

Predicting the length of stay in a hospital for a particular disease using machine learning algorithms
af: Imam, Saif
Udgivet: (2021)

Lasso Regressions and Forecasting Models in Applied Stress Testing /
af: Chan-Lau, Jorge
Udgivet: (2017)

Regression for Categorical Data
af: Gerhard Tutz
Udgivet: (2012)

Negative Binomial Regression
af: Joseph M. Hilbe
Udgivet: (2012)

A novel approach to reduce air pollution through machine learning based PM2.5 prediction
af: Alif, Omar Farhad, et al.
Udgivet: (2023)

Machine learning based stream selection of secondary school students in Bangladesh
af: Ahmad, Shabbir
Udgivet: (2024)

Multiple outliers detection: application to research & development spending and productivity growth
af: Nurunnabi, A. A. M., et al.
Udgivet: (2010)

The promise of the coming dark age /
af: Stavrianos, Leften Stavros
Udgivet: (1976)

Flexible Bayesian Regression Modelling
af: Fan, Yanan
Udgivet: (2020)

Quantile Regression for Spatial Data
af: McMillen
Udgivet: (2013)

Bayesian and Frequentist Regression Methods
af: Wakefield
Udgivet: (2013)

Flexible Bayesian Regression Modelling
af: Fan, Yanan
Udgivet: (2020)

Weather forecasting using Deep Learning
af: Fahad, Sheikh Abdul, et al.
Udgivet: (2023)

Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
af: Saquib, Muhammad Sadman, et al.
Udgivet: (2019)

Early grade prediction using profile data
af: Iqbal, Sumaiya, et al.
Udgivet: (2021)

Linear Regression and its Application to Economics
af: Hellwig, Zdzisław
Udgivet: (1963)

Linear Regression and its Application to Economics
af: Hellwig, Zdzisław
Udgivet: (1963)

Indexing Structural Distortion : Sectoral Productivity, Structural Change and Growth /
af: Ando, Sakai
Udgivet: (2017)