#
Regression analysis
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The concept ** Regression analysis** represents the subject, aboutness, idea or notion of resources found in **Brigham Young University**.

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Regression analysis
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The concept

**Regression analysis**represents the subject, aboutness, idea or notion of resources found in**Brigham Young University**.- Label
- Regression analysis

#### 100+ Items that share the Concept Regression analysis

## Context

Context of Regression analysis#### Subject of

- A Monte Carlo comparison of latent root and ridge-type estimators in regression
- A beginner's guide to structural equation modeling
- A comparison of 4 ridge regression methods and least squares
- A comparison of least median squares and partially adaptive estimation of regression models
- A correlation procedure for augmenting hydrologic data
- A distribution-free theory of nonparametric regression
- A first course in linear regression
- A geographic information system tool to solve regression equations and estimate flow-frequency characteristics of Vermont streams
- A guide to modern econometrics
- A multiple linear regression approach to the analysis of balanced and unbalanced designs
- A primer on regression artifacts
- A simulation and comparison of three criterion functions used for subset selection in linear regression
- A study of reduced rank models for multiple prediction
- Adaptive regression
- Adaptive tests of significance using permutations of residuals with R and SAS
- Alternative methods of regression
- An accurate VO2max non-exercise regression model for 18 to 65 year-old adults
- An autoregressive model with heteroskedasticity
- An introduction to computational statistics : regression analysis
- An introduction to linear regression and correlation
- An introduction to numerical methods for chemical engineers
- An updated objective forecast technique for Colorado downslope winds
- Analysis of covariance methods for testing regression coefficients in student performance prediction
- Analysis of failure and survival data
- Analysis of variance, design and regression : : applied statistical methods
- Analyzing environmental data
- Analyzing environmental data
- Analyzing experimental data by regression
- Analyzing qualitative/categorical data : log-linear models and latent-structure analysis
- Another heteroskedasticity and autocorrelation consistent covariance matrix estimator
- Anthropometric regression equations for the estimation of body composition in young female gymnasts
- Application of nonlinear-regression methods to a ground-water flow model of the Albuquerque Basin, New Mexico
- Applications of regression models in epidemiology
- Applied linear models with SAS
- Applied linear regression
- Applied linear regression
- Applied linear regression models
- Applied linear regression models
- Applied linear regression models
- Applied linear statistical models
- Applied linear statistical models : regression, analysis of variance, and experimental designs
- Applied logistic regression
- Applied logistic regression
- Applied logistic regression
- Applied logistic regression analysis
- Applied longitudinal analysis
- Applied multiple regression/correlation analysis for the behavioral sciences
- Applied multiple regression/correlation analysis for the behavioral sciences
- Applied multivariate statistics with SAS software
- Applied nonparametric regression
- Applied quantitative analysis in education and the social sciences
- Applied regression : an introduction
- Applied regression analysis
- Applied regression analysis
- Applied regression analysis
- Applied regression analysis and experimental design
- Applied regression analysis and generalized linear models
- Applied regression analysis and other multivariable methods
- Applied regression analysis and other multivariable methods
- Applied regression analysis and other multivariable methods
- Applied regression analysis, linear models, and related methods
- Applied regression including computing and graphics
- Applied regression modeling
- Applied regression modeling
- Applied regression modeling : a business approach
- Applied statistics : analysis of variance and regression
- Applied statistics : regression and analysis of variance
- Applying bayesian ordinal regression to ICAP maladaptive behavior subscales
- Applying regression & correlation : a guide for students and researchers
- Asymptotically median unbiased estimation of coefficient variance in a time varying parameter model
- Asymptotics for GMM estimators with weak instruments
- Bayesian and frequentist regression methods
- Bayesian estimation and experimental design in linear regression models
- Bayesian estimation and experimental design in linear regression models
- Bayesian methods for nonlinear classification and regression
- Bayesian smoothing and regression for longitudinal, spatial and event history data
- Bootstrap tests for regression models
- Business control through multiple regression analysis: : a technique for the numerate manager,
- Characteristics and Influential factors of food deserts
- Chronic physical illness and depression among ethnic minority elderly
- Circular and linear regression : fitting circles and lines by least squares
- Classical and modern regression with applications
- Classification and regression trees
- Comparing classification methods with respect to sampling proportion and model specification using evaluation measures incorporating cost
- Confidence band and tolerance band estimation for a class of non-linear regression problems
- Confidence intervals in generalized regression models
- Constructing and testing logistic regression models for binary data : applications to the National Fire Danger Rating System
- Coping with multicollinearity : an example on application of principal components regression in dendroecology
- Correlation and regression analysis : a historian's guide
- Data analysis for research designs : analysis-of-variance and multiple regression/correlation approaches
- Data analysis using regression and multilevel/hierarchical models
- Designing general linear models to test research hypotheses
- Determining minimum sample sizes for multiple regression grade prediction equations for colleges
- Development and application of regression models for estimating nutrient concentrations in streams of the conterminous United States, 1992-2001
- Development and application of watershed regressions for pesticides (WARP) for estimating atrazine concentration distributions in streams
- Development and implementation of a regression model for predicting recreational water quality in the Cuyahoga River, Cuyahoga Valley National Park Ohio 2009-11
- Development of predictive models for use in a feedback control scheme for an injection molding machine : combating long-tailed error distributions and severe collinearity using robust regression M-estimates and principal components regression
- Development of structured regression hypotheses/interactive descriptive geometry through five dimensions
- Distribution and abundance of snags in the Sagehen Creek Basin, California
- Dry season mean monthly flow and harmonic mean flow regression equations for selected ungaged basins in Arkansas
- Dynamic regression models for survival data
- Econometric flexibility in microsimulation : an age-centered regression approach
- Empirical Bayes estimates of parameters from the logistic regression model
- Environment and forest regeneration in the Illinois Valley area of southwestern Oregon
- Estimating linear regressions with mismeasured, possibly endogenous, binary explanatory variables
- Estimation of constituent concentrations, densities, loads, and yields in lower Kansas River, northeast Kansas, using regression models and continuous water-quality monitoring, January 2000 through December 2003
- Estimation of constituent concentrations, loads, and yields in streams of Johnson County, northeast Kansas, using continuous water-quality monitoring and regression models, October 2002 through December 2006
- Evaluating statistical techniques for predicting and interpreting FORPLAN results
- Evaluating the effect of an antidiscrimination law using a regression-discontinuity design
- Evaluation of drainage-area ratio method used to estimate streamflow for the Red River of the North Basin, North Dakota and Minnesota
- Evaluation of peak-flow data network of small streams in Missouri
- Event history analysis in demography
- Exhuming Q : market power vs. capital market imperfections
- Expected accuracy of tropopause height and temperature as derived from satellite radiation measurements
- Fitting models to biological data using linear and nonlinear regression : a practical guide to curve fitting
- Forecasting with dynamic regression models
- Forecasting, time series, and regression : an applied approach
- Formulas useful for linear regression analysis and related matrix theory : it's only formulas but we like them
- Functional relations, random coefficients, and nonlinear regression with application to kinetic data
- Fuzzy partition grade of membership scores as covariates in logistic regression credit scoring models / : y David C. Draper
- Generalized additive models
- Generalized estimates from streamflow data of annual and seasonal ground-water-recharge rates for drainage basins in New Hampshire
- Growth curve analysis and visualization using R
- HIER-GRP, a computer program for the hierarchical grouping of regression equations
- Handbook for linear regression
- Handbook of advanced multilevel analysis
- Handbook of nonlinear regression models
- Highway safety : factors affecting involvement in vehicle crashes : report to congressional requesters
- How to use regression analysis in quality control
- Identifying proxy sets in multiple linear regression : an aid to better coefficient interpretation
- Image processing and jump regression analysis
- Imposing moment restrictions from auxiliary data by weighting
- Interaction effects in multiple regression
- Intermediate politometrics
- Interpreting and using regression
- Introduction to linear regression analysis
- Introduction to linear regression analysis
- Introduction to linear regression analysis
- Introduction to mixed modelling : beyond regression and analysis of variance
- Introduction to regression analysis
- Introduction to statistical time series
- Investigating and applying treed regression
- Investigation of an iterative procedure using robust regression for unreplicated factorial and fractional factorial experiments
- Investigation of the properties of the current estimators of shelf life stability
- Jackknife instrumental variables estimation
- LISREL approaches to interaction effects in multiple regression
- Least absolute deviations : theory, applications, and algorithms
- Least squares regression analysis in terms of linear algebra
- Linear and nonlinear models : fixed effects, random effects, and mixed models
- Linear regression analysis
- Linear statistical models : an applied approach
- Linear statistical models : an applied approach
- Linear statistical models and related methods : with applications to social research
- Local polynomial modelling and its applications
- Local regression and likelihood
- Logistic regression with missing values in the covariates
- Longitudinal data analysis
- Measurement error in nonlinear models
- Measurement error models
- Measurement, regression, and calibration
- Meta-regression approaches : what, why, when, and how?
- Methods and applications of linear models : regression and the analysis of variance
- Methods for adjusting U.S. Geological Survey rural regression peak discharges in an urban setting
- Methods for estimating flow-duration and annual mean-flow statistics for ungaged streams in Oklahoma
- Methods for estimating peak discharge and flood boundaries of streams in Utah
- Model discrimination for nonlinear regression models
- Modeling and interpreting interactive hypotheses in regression analysis
- Models in regression and related topics
- Modern methods for robust regression
- Modern regression methods
- Modern regression techniques using R : a practical guide for students and researchers
- Mostly harmless econometrics : an empiricist's companion
- Multilevel analysis : techniques and applications
- Multiple and generalized nonparametric regression
- Multiple regression : a primer
- Multiple regression : testing and interpreting interactions
- Multiple regression analysis of the diagonal stride of cross-country skiing on uphill terrain
- Multiple regression and analysis of variance : an introduction for computer users in management and economics
- Multiple regression and the analysis of variance
- Multiple regression approach; : research design in the behavioral sciences
- Multiple regression in behavioral research
- Multiple regression in behavioral research : explanation and prediction
- Multivariable model-building : a pragmatic approach to regression analysis based on fractional polynomials for modelling continuous variables
- Multivariate reduced-rank regression : theory and applications
- Multivariate regression model for partitioning tree volume of white oak into round-product classes
- Nonlinear models for repeated measurement data
- Nonlinear regression
- Nonlinear regression analysis and its applications
- Nonlinear regression modeling : a unified practical approach
- Nonlinear statistical models
- Nonparametric applications of Bayesian inference
- Nonparametric regression analysis of longitudinal data
- Nonparametric regression and generalized linear models : a roughness penalty approach
- Nonparametric simple regression : smoothing scatterplots
- Notes on linear inference
- On the theory and application of the general linear model.
- Order dependence
- Order restricted statistical inference
- Partial identification of probability distributions
- Partially adaptive estimation of truncated regression modles : a comparison with several semiparametric estimators
- Participation in heterogeneous communities
- Plots, transformations, and regression : an introduction to graphical methods of diagnostic regression analysis
- Plotting and regression programs for isotope geochemists, for use with HP-86/87 microcomputers
- Practical longitudinal data analysis
- Predicting lateral spread displacement using data from the Cone Penetration test
- Prediction of energy cost of submaximal exercise in women
- Predictions in time series using regression models
- Prevalence of U.S. food insecurity is related to changes in unemployment, inflation, and the price of food
- Primer of applied regression & analysis of variance
- Primer of applied regression & analysis of variance
- Primer of applied regression and analysis of variance
- Principles of regression analysis
- Procedures for adjusting regional regression models of urban-runoff quality using local data
- Property tax assessment applications of multiple regression analysis
- Property tax assessment applications of multiple regression analysis,
- Proportional hazards regression
- Quantile regression
- Quantile regression
- Quantitative forecasting methods
- Quantitative methods in population health : extensions of ordinary regression
- Random coefficient autoregressive models : an introduction
- Random coefficient models
- Recent advances in regression methods
- Regional regresion equations to estimate flow-duration statistics at ungaged stream sites in Connecticut
- Regional regression equations for estimation of natural streamflow statistics in Colorado
- Regression & correlation : the advanced statistical tools series
- Regression & linear modeling : best practices and modern methods
- Regression : models, methods and applications
- Regression analysis
- Regression analysis : a constructive critique
- Regression analysis : concepts and applications
- Regression analysis : statistical modeling of a response variable
- Regression analysis : statistical modeling of a response variable / | Rudolf J. Freund, William J. Wilson, Ping Sa
- Regression analysis : theory, methods and applications
- Regression analysis and its application : a data-oriented approach
- Regression analysis and real-time water-quality monitoring to estimate constituent concentrations, loads, and yields in the Little Arkansas River, south-central Kansas, 1995-99
- Regression analysis appraisal models : selected topics and issues
- Regression analysis by example
- Regression analysis by example
- Regression analysis by example
- Regression analysis by example
- Regression analysis for categorical moderators
- Regression analysis in educational research,
- Regression analysis of count data
- Regression analysis of count data
- Regression analysis of stage variability for west-central Florida lakes
- Regression analysis under a priori parameter restrictions
- Regression analysis with applications
- Regression and econometric methods
- Regression and factor analysis applied in econometrics
- Regression and linear models
- Regression and the Moore-Penrose pseudoinverse
- Regression and time series model selection
- Regression basics
- Regression basics
- Regression diagnostics : identifying influential data and sources of collinearity
- Regression estimation from grouped observations
- Regression for categorical data
- Regression methods : a tool for data analysis
- Regression methods in biostatistics : linear, logistic, survival, and repeated measures models
- Regression model for explaining and predicting concentrations of dieldrin in whole fish from United States streams
- Regression modeling strategies : with applications to linear models, logistic regression, and survival analysis
- Regression models : censored, sample selected or truncated data
- Regression models for categorical and limited dependent variables
- Regression models for categorical dependent variables using Stata
- Regression models for time series analysis
- Regression models with measurement error : a comparison of estimators based on replicate measurements
- Regression, ANOVA, and the general linear model : a statistics primer
- Relation of urban land-use and dry-weather, storm, and snowmelt flow characteristics to stream-water quality, Shunganunga Creek basin, Topeka, Kansas
- Relation of urban land-use and dry-weather, storm, and snowmelt flow characteristics to stream-water quality, Shunganunga Creek basin, Topeka, Kansas
- Relative suitabilities of regression models in electronic analysis of riparian vegetation
- Research design for program evaluation : the regression-discontinuity approach
- Residuals and influence in regression
- Robust diagnostic regression analysis
- Robust regression : analysis and applications
- Robust regression analysis of growth in basal area of natural pine stands in Georgia and Alabama, 1962-72 and 1972-82
- Robust regression and outlier detection
- Robust ridge regression
- Semiparametric regression
- Semiparametric regression for the applied econometrician
- Semiparametric regression for the social sciences
- Sensitivity analysis in linear regression
- Smoothing and regression : approaches, computation, and application
- Spline regression models
- Spline smoothing and nonparametric regression
- Spurious regressions in financial economics?
- Statistical inference under order restrictions; : the theory and application of isotonic regression
- Statistical learning from a regression perspective
- Statistical methods : a geometric primer
- Statistical methods : the geometric approach
- Statistical methods for forecasting
- Statistical methods in biology : design and analysis of experiments and regression
- Statistical modeling : applications in contemporary issues
- Statistical models for the social and behavioral sciences : multiple regression and limited-dependent variable models
- Statistical response curve modelling and regression analysis as applied to the development of a pyrotechnic testing method
- Statistical tools for nonlinear regression : a practical guide with S-PLUS and R examples
- Statistical tools for nonlinear regression : a practical guide with S-PLUS examples
- Statistics and econometrics : a problem-solving text
- Stochastic approximation and nonlinear regression
- Subset selection in regression
- Subset selection in regression
- Super crunchers : why thinking-by-numbers is the new way to be smart
- Testing regression models based on sample survey data
- Testing research hypotheses using multiple linear regression
- The Atchafalaya River delta : Report 3 : Extrapolation of delta growth
- The coordinate-free approach to linear models
- The determinants of educational outcomes : the impact of families, peers, teachers, and schools
- The linear regression model under test
- The manga guide to regression analysis
- The parameters of cross-validation
- The roots of backpropagation : from ordered derivatives to neural networks and political forecasting
- The statistical analysis of failure time data
- The statistical analysis of failure time data
- The theory of dispersion models
- The use of chemical and physical properties for characterization of strontium distribution coefficients at the Idaho National Engineering and Environmental Laboratory, Idaho
- The use of contrast coefficients : supplement to McNeil, Kelly, and McNeil Testing research hypotheses using multiple linear regression
- The use of dummy variables in regression analysis
- The use of multidimensional scaling and Euclidean regression in the analysis of outdoor recreation use patterns : a pilot investigation
- Theory of optimal experiments
- Theory of preliminary test and Stein-type estimation with applications
- Time series and forecasting with IDA
- Transformation and weighting in regression
- Tree volume and biomass equations for the Lake States
- Understanding regression analysis
- Understanding regression analysis : an introductory guide
- Unweighted means and complete least-squares regression analyses of disproportionate cell data
- Use of continuous monitors and autosamplers to predict unmeasured water-quality constituents in tributaries of the Tualatin River, Oregon
- Using econometrics : a beginner's guide
- Using statistical tools
- Using the decomposition of the contribution of a new variable to R2 in visualizing the effect of R2 on stepwise regression
- Validation of selected regression equations for predicting body density, body fat percentage, lean body weight, and body fat weight
- Weighted empirical processes in dynamic linear models
- Zero-inflated censored regression models : an application with episode of care data

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