Regression

Regression

Bibliografske podrobnosti
Glavni avtor:	Fahrmeir
Format:	Elektronski eKnjiga
Jezik:	English
Izdano:	Springer Berlin Heidelberg, 2013
Izdaja:	1
Teme:	Electronic books
Online dostop:	Full text available on Springer Off-campus access

Podobne knjige/članki

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

Seasonality in Regression
od: Hylleberg, Svend
Izdano: (1986)

Logistische Regression
od: Kalisch
Izdano: (2021)

Seasonality in Regression
od: Hylleberg, Svend
Izdano: (1986)

Applied regression : an introduction /
od: Lewis-Beck, Michael S.
Izdano: (1980)

Regression for Categorical Data
od: Gerhard Tutz
Izdano: (2012)

Negative Binomial Regression
od: Joseph M. Hilbe
Izdano: (2012)

Multiple regression in practice /
od: Berry, William Dale
Izdano: (1985)

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

Quantile Regression for Spatial Data
od: McMillen
Izdano: (2013)

Bayesian and Frequentist Regression Methods
od: Wakefield
Izdano: (2013)

Flexible Bayesian Regression Modelling
od: Fan, Yanan
Izdano: (2020)

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

Flexible Bayesian Regression Modelling
od: Fan, Yanan
Izdano: (2020)

Linear Regression and its Application to Economics
od: Hellwig, Zdzisław
Izdano: (1963)

Linear Regression and its Application to Economics
od: Hellwig, Zdzisław
Izdano: (1963)

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

Neglected Heterogeneity and Dynamics in Cross-Country Savings Regressions.
Izdano: (1999)

Spatial Regression Analysis Using Eigenvector Spatial Filtering
od: Griffith, Daniel
Izdano: (2019)

Spatial Regression Analysis Using Eigenvector Spatial Filtering
od: Griffith, Daniel
Izdano: (2019)

Formulas Useful for Linear Regression Analysis and Related Matrix Theory
od: Puntanen
Izdano: (2013)

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

Incorrect F-statistic to test nonhomogeneous hypothesis in bivariate regression analysis
od: Rahman, Mohammad Lutfur
Izdano: (2010)

We Just Averaged over Two Trillion Cross-Country Growth Regressions /
od: Steel, Mark
Izdano: (1999)

Exploring water consumption in Dhaka city using instrumental variables regression approaches
od: Siddiquee, Muhammad Shahadat Hossain, et al.
Izdano: (2022)

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

Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications
Izdano: (2013)

Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
od: Ahmed, Md. Sabbir, et al.
Izdano: (2021)

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

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

Rapid Growth in the CIS : Panel Regression Approach /
od: Iradian, Garbis
Izdano: (2007)

Oil Rents, Corruption, and State Stability : Evidence From Panel Data Regressions.
Izdano: (2009)

Settling the Inflation Targeting Debate : Lights from a Meta-Regression Analysis /
od: Balima, Hippolyte
Izdano: (2017)

Recovery and Growth in Transition Economies 1990-97 : A Stylized Regression Analysis.
Izdano: (1998)

Has Chinese Aid Benefited Recipient Countries? : Evidence from a Meta-Regression Analysis /
od: Mandon, Pierre
Izdano: (2022)

Exploring the causes and process of becoming child domestic worker : red working paper no. 35 /
od: Chodhuary, Shuburna
Izdano: (2013)

Manuel de la balance des paiements, sixieme edition.
Izdano: (2013)

International Monetary Fund Annual Report 2012 : Working Together To Support Global Recovery.
Izdano: (2013)

Republic of Lithuania : 2013 Article IV Consultation: Staff Report, Information Annex, Public Information Notice, Statement by the Executive Director.
Izdano: (2013)

Republic of Lithuania : Selected Issues.
Izdano: (2013)