Applied regression : an introduction /

Applied regression : an introduction /

Xehetasun bibliografikoak
Egile nagusia:	Lewis-Beck, Michael S.
Formatua:	Liburua
Hizkuntza:	English
Argitaratua:	Beverly Hills, Calif. ; New Delhi : Sage Publications, c1980.
Saila:	Sage university papers series. no. 07-022
Gaiak:	Regression analysis.
Classic Catalogue:	View this record in Classic Catalogue

Antzeko izenburuak

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

Multiple regression in practice /
nork: Berry, William Dale
Argitaratua: (1985)

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

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

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

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

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

Regression
nork: Fahrmeir
Argitaratua: (2013)

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

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

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

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

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

Nonrecursive causal models /
nork: Berry, William Dale
Argitaratua: (1984)

Seasonality in Regression
nork: Hylleberg, Svend
Argitaratua: (1986)

Logistische Regression
nork: Kalisch
Argitaratua: (2021)

Seasonality in Regression
nork: Hylleberg, Svend
Argitaratua: (1986)

Flood prediction using ensemble machine learning models
nork: Rahman, Tanvir
Argitaratua: (2024)

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

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

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

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

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

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

Regression for Categorical Data
nork: Gerhard Tutz
Argitaratua: (2012)

Negative Binomial Regression
nork: Joseph M. Hilbe
Argitaratua: (2012)

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

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

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

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

Flexible Bayesian Regression Modelling
nork: Fan, Yanan
Argitaratua: (2020)

Quantile Regression for Spatial Data
nork: McMillen
Argitaratua: (2013)

Bayesian and Frequentist Regression Methods
nork: Wakefield
Argitaratua: (2013)

Flexible Bayesian Regression Modelling
nork: Fan, Yanan
Argitaratua: (2020)

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

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

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

Linear Regression and its Application to Economics
nork: Hellwig, Zdzisław
Argitaratua: (1963)

Linear Regression and its Application to Economics
nork: Hellwig, Zdzisław
Argitaratua: (1963)

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