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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 **University of Missouri-St. Louis Libraries**.

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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**University of Missouri-St. Louis Libraries**.- Label
- Regression analysis

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- A comparison of case-based reasoning and regression analysis approaches for cost uncertainty modeling
- A correlation procedure for augmenting hydrologic data
- A geographic information system tool to solve regression equations and estimate flow-frequency characteristics of Vermont streams
- A logistic regression equation for estimating the probability of a stream flowing perennially in Massachusetts
- A look at various estimators in logistic models in the presence of missing values
- A method-bridging study for serum 25-hydroxyvitamin D to standardize historical radioimmunoassay data to liquid chromatography-tandem mass spectrometry
- A primer on regression artifacts
- An Evaluation of regression methods to estimate nutritional condition of canvasbacks and other water birds
- An acceleration technique for a conjugate direction algorithm for nonlinear regression
- An exploration of the moderating impact of mentorship on the relationship between Christian religious orientation and moral reasoning
- An interactive nonlinear least squares program
- An introduction to regression and correlation
- Analysis of Three Different Regression Models to Estimate the Ballistic Performance of New and Environmentally Conditioned Body Armor
- Analyzing experimental data by regression
- Analyzing qualitative/categorical data : log-linear models and latent-structure analysis
- Application of nonlinear-regression methods to a ground-water flow model of the Albuquerque Basin, New Mexico
- Applied linear models with SAS
- Applied linear regression models
- Applied linear statistical models : regression, analysis of variance, and experimental designs
- Applied linear statistical models : regression, analysis of variance, and experimental designs
- Applied logistic regression
- Applied multiple regression/correlation analysis for the behavioral sciences
- Applied multiple regression/correlation analysis for the behavioral sciences
- Applied multiple regression/correlation analysis for the behavioral sciences
- Applied quantitative analysis in education and the social sciences
- Applied regression : an introduction
- Applied regression analysis
- Applied regression analysis
- Applied regression analysis and other multivariable methods
- Applied regression analysis, linear models, and related methods
- Applied statistics : analysis of variance and regression
- Assessment of uncertainty in the determination of kinetic reaction parameters for polymeric materials
- Bayesian smoothing spline analysis of variance models
- Business applications of multiple regression
- Characteristics and Influential factors of food deserts
- Classification and regression trees
- 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 analysis of organic reactivity, with particular reference to multiple regression
- Correlation and regression analysis : a historian's guide
- Data analysis for research designs : analysis-of-variance and multiple regression/correlation approaches
- Decision trees for analytics : using SAS Enterprise Miner
- Design and analysis of a new bounded log-linear regression model
- Designing general linear models to test research hypotheses
- 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 regression equations to estimate flow durations and low-flow-frequency statistics in New Hampshire streams
- Discovering partial least squares with JMP
- Do large-scale refinancing programs reduce mortgage defaults? : evidence from a regression discontinuity design
- Dry season mean monthly flow and harmonic mean flow regression equations for selected ungaged basins in Arkansas
- Econometric flexibility in microsimulation : an age-centered regression approach
- Empirical Bayes estimates of parameters from the logistic regression model
- 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
- Evaluation of drainage-area ratio method used to estimate streamflow for the Red River of the North Basin, North Dakota and Minnesota
- Fading foundations : probability and the regress problem
- Fitting models to biological data using linear and nonlinear regression : a practical guide to curve fitting
- Five-hole flow angle probe calibration for the NASA Glenn Icing Research Tunnel
- Focus on nonlinear analysis research
- Functional relations, random coefficients, and nonlinear regression with application to kinetic data
- Generalized estimates from streamflow data of annual and seasonal ground-water-recharge rates for drainage basins in New Hampshire
- Generalized estimates from streamflow data of annual and seasonal ground-water-recharge rates for drainage basins in New Hampshire
- Handbook for linear regression
- Hedge fund replication using a strategy specific modeling approach
- Highway safety : factors affecting involvement in vehicle crashes : report to congressional requesters
- Identifying proxy sets in multiple linear regression : an aid to better coefficient interpretation
- Image processing and jump regression analysis
- Improving the trainee socialization process in basic combat training
- Industrial and business forecasting methods : a practical guide to exponential smoothing and curve fitting
- Interaction effects in multiple regression
- Interpreting and using regression
- Introduction to linear models
- Introduction to statistical time series
- Least absolute deviations : theory, applications, and algorithms
- Least squares regression analysis in terms of linear algebra
- Linear models : an integrated approach
- Linear regression : models, analysis, and applications
- Linear regression analysis
- Linear regression analysis : assumptions and applications
- Linear regression analysis : theory and computing
- Linear statistical models : an applied approach
- Matching, regression discontinuity, difference in differences, and beyond
- Measurement error models
- Meta-regression approaches : what, why, when, and how?
- 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
- Modeling and interpreting interactive hypotheses in regression analysis
- Multilevel analysis for applied research : it's just regression!
- Multiple and generalized nonparametric regression
- Multiple linear regression viewpoints
- Multiple regression : testing and interpreting interactions
- Multiple regression and analysis of variance : an introduction for computer users in management and economics
- Multiple regression approach : research design in the behavioral sciences
- Multiple regression assumptions
- Multiple regression in behavioral research : explanation and prediction
- Multiple regression in practice
- Multiple regression with discrete dependent variables
- Multiple-regression equations to estimate peak-flow frequency for streams in Hays County, Texas
- National Center for Health Statistics guidelines for analysis of trends
- Nonlinear regression
- Nonlinear regression analysis and its applications
- Nonparametric regression and spline smoothing
- Nonrecursive causal models
- Optimal design : an introduction to the theory for parameter estimation
- Ordinal methods for behavioral data analysis
- Partial identification of probability distributions
- Performance of an axisymmetric rocket based combined cycle engine during rocket only operation using linear regression analysis
- Plots, transformations, and regression : an introduction to graphical methods of diagnostic regression analysis
- Prediction of heavy snow events in the Snake River Plain using pattern recognition and regression techniques
- Prevalence of U.S. food insecurity is related to changes in unemployment, inflation, and the price of food
- Principles of regression analysis
- Procedures for adjusting regional regression models of urban-runoff quality using local data
- Procedures for adjusting regional regression models of urban-runoff quality using local data
- Procedures for estimation of Weibull parameters
- Quantifying error in vegetation mapping
- Quantile regression
- Quantile regression
- Rain rate statistics in southern New Mexico
- Regional regresion equations to estimate flow-duration statistics at ungaged stream sites in Connecticut
- Regional regression equations for estimation of four hydraulic properties of streams at approximate bankfull conditions for different ecoregions in Texas
- Regional regression equations for estimation of natural streamflow statistics in Colorado
- Regionalization of surface-water statistics using multiple linear regression
- Regression & linear modeling : best practices and modern methods
- Regression analysis : a constructive critique
- Regression analysis : statistical modeling of a response variable
- Regression analysis : understanding and building business and economic models using Excel
- Regression analysis and linear models : concepts, applications, and implementation
- 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 for categorical moderators
- Regression analysis for social sciences
- Regression analysis for the social sciences
- Regression analysis in educational research
- Regression analysis of count data
- Regression analysis of stage variability for west-central Florida lakes
- Regression analysis with Python : learn the art of regression analysis with Python
- 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 diagnostics : identifying influential data and sources of collinearity
- Regression discontinuity designs : theory and applications
- Regression for categorical data
- Regression for economics
- Regression model for explaining and predicting concentrations of dieldrin in whole fish from United States streams
- Regression modeling with actuarial and financial applications
- Regression models for categorical and limited dependent variables
- Regression models for estimating sediment and nutrient concentrations and loads at the Iroquois River near Foresman, Indiana, March 2015 through July 2018
- Regression models for estimating sediment and nutrient concentrations and loads at the Kankakee River, Shelby, Indiana, December 2015 through May 2018
- Regression on linear composites : statistical theory and applications
- Regression relations and long-term water-quality constituent concentrations, loads, yields, and trends in the North Fork Ninnescah River, South-Central Kansas, 1999-2019
- Research design for program evaluation : the regression-discontinuity approach
- Residuals and influence in regression
- 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
- Satellite rainfall retrieval by logistic regression
- SeawaveQ--an R package providing a model and utilities for analyzing trends in chemical concentrations in streams with a seasonal wave (seawave) and adjustment for streamflow (Q) and other ancillary variables, version 2.0.0
- Seemingly unrelated regression equations models : estimation and inference
- Semiparametric analysis of panel count data
- Semiparametric regression
- Semiparametric regression for the applied econometrician
- Sensitivity analysis in linear regression
- Statistical analysis of failure time data with missing information
- Statistical analysis of multivariate interval-censored failure time data
- Statistical inference under order restrictions ; : the theory and application of isotonic regression
- Statistical methods for forecasting
- Statistical modeling : applications in contemporary issues
- Statistical studies of various time-to-fail distributions
- Stochastic model for solar sensor array data
- Stochastic parameter regression models
- Subset selection in regression
- Testing research hypotheses using multiple linear regression
- The coordinate-free approach to Gauss-Markov estimation
- The coordinate-free approach to linear models
- The determinants of educational outcomes : the impact of families, peers, teachers, and schools
- The nonparametric analysis of interval-censored failure time data
- The relative effect of charge dimensions on elastic vibration attenuation and blast-induced seismic energy concepts
- 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
- Topics in regression analysis
- Understanding multivariate research : a primer for beginning social scientists
- Understanding regression analysis
- Understanding regression analysis : an introductory guide
- Use of boosted regression trees to quantify cumulative instream flow resulting from curtailment of irrigation in the Sprague River Basin, Oregon
- Use of continuous monitors and autosamplers to predict unmeasured water-quality constituents in tributaries of the Tualatin River, Oregon
- Using classification and regression trees : a practical primer
- Using conditional probability to predict solar-powered pump-and-treat performance
- Using statistical tools
- Weak convergence of bounded influence regression estimates with applications
- World saving

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