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Income Distribution: Includes CD

Fred Campano and Dominick Salvatore

Published in print:
2006
Published Online:
May 2006
ISBN:
9780195300918
eISBN:
9780199783441
Item type:
book
Publisher:
Oxford University Press
DOI:
10.1093/0195300912.001.0001
Subject:
Economics and Finance, Development, Growth, and Environmental

Intended as an introductory textbook for advanced undergraduates and first year graduate students, this book leads the reader from familiar basic micro- and macroeconomic concepts in the introduction ... More


Dynamical Parameter and State Estimation in Neuron Models

Henry D. I. Abarbanel, Paul H. Bryant, Philip E. Gill, Mark Kostuk, Justin Rofeh, Zakary Singer, Bryan Toth, and Elizabeth Wong

in The Dynamic Brain: An Exploration of Neuronal Variability and Its Functional Significance

Published in print:
2011
Published Online:
September 2011
ISBN:
9780195393798
eISBN:
9780199897049
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195393798.003.0008
Subject:
Neuroscience, Behavioral Neuroscience, Development

Using the “dynamical parameter estimation” (DPE) formulation of parameter and state estimation in models of nonlinear systems, we study the estimation of all parameters in two neuron models, ... More


Univariate periodic time series models

Philip Hans Franses and Richard Paap

in Periodic Time Series Models

Published in print:
2004
Published Online:
August 2004
ISBN:
9780199242023
eISBN:
9780191601286
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/019924202X.003.0003
Subject:
Economics and Finance, Econometrics

In Chapter 3 we outline the basics of periodic models for univariate time series data. We abstain from a discussion of trending data, and assume there are no stochastic trends. We consider two types ... More


Results

Christine DeMars

in Item Response Theory

Published in print:
2010
Published Online:
March 2012
ISBN:
9780195377033
eISBN:
9780199847341
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195377033.003.0004
Subject:
Psychology, Cognitive Psychology

This chapter addresses each of the following research questions, with an explanation of how the output can be used to find answers: What is the spread of item difficulties (and category difficulties, ... More


Parameter Estimation

Sadegh Vaez-Zadeh

in Control of Permanent Magnet Synchronous Motors

Published in print:
2018
Published Online:
April 2018
ISBN:
9780198742968
eISBN:
9780191802942
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780198742968.003.0007
Subject:
Physics, Condensed Matter Physics / Materials

In this chapter, the estimation of permanent magnetic synchronous (PMS) motor parameters, including stator winding resistance, motor inductances, and magnitude of permanent magnet flux linage, is ... More


Converting from Descriptive Analysis to Predictive Models

Rein Taagepera

in Making Social Sciences More Scientific: The Need for Predictive Models

Published in print:
2008
Published Online:
September 2008
ISBN:
9780199534661
eISBN:
9780191715921
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199534661.003.0016
Subject:
Political Science, Comparative Politics, Political Economy

The results of existing statistical analysis can sometimes be used to estimate the parameters in quantitatively predictive logical models. This is important, because it expands the value of ... More


Identification of Biochemical Reaction Networks Using a Parameter-Free Coordinate System

Dirk Fey, Rolf Findeisen, and Eric Bullinger

in Control Theory and Systems Biology

Published in print:
2009
Published Online:
August 2013
ISBN:
9780262013345
eISBN:
9780262258906
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262013345.003.0014
Subject:
Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies

This chapter proposes an observer-based parameter estimation methodology particularly suited for biochemical reaction networks in which the reaction kinetics is described by polynomial or rational ... More


Fitting Basic Discrete-Time Hazard Models

Judith D. Singer and John B. Willett

in Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence

Published in print:
2003
Published Online:
September 2009
ISBN:
9780195152968
eISBN:
9780199864980
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195152968.003.0011
Subject:
Public Health and Epidemiology, Public Health, Epidemiology

Good data analysis involves more than using a computer package to fit a statistical model to data. To conduct a credible discrete-time survival analysis, one must: specify a suitable model for hazard ... More


An introduction to inverse modelling and parameter estimation for atmosphere and ocean sciences

M. Bocquet

in Advanced Data Assimilation for Geosciences: Lecture Notes of the Les Houches School of Physics: Special Issue, June 2012

Published in print:
2014
Published Online:
March 2015
ISBN:
9780198723844
eISBN:
9780191791185
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780198723844.003.0020
Subject:
Physics, Geophysics, Atmospheric and Environmental Physics

This chapter is a short survey of the inverse modelling and parameter estimation methods currently used in the atmosphere and ocean sciences. The focus is on the estimation of model parameters. This ... More


Data Analysis and Modeling

Zhong-Lin Lu and Barbara Dosher

in Visual Psychophysics: From Laboratory to Theory

Published in print:
2013
Published Online:
May 2014
ISBN:
9780262019453
eISBN:
9780262314930
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262019453.003.0010
Subject:
Psychology, Vision

This chapter provides a guidebook to the basic issues in quantitative data analysis and modeling. It shows how we test the quality of a model and fit the model to observed data. The quality of a ... More


Demographic and environmental stochasticity

Russell Lande, Steinar Engen, and Bernt-Erik SÆther

in Stochastic Population Dynamics in Ecology and Conservation

Published in print:
2003
Published Online:
April 2010
ISBN:
9780198525257
eISBN:
9780191584930
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780198525257.003.0001
Subject:
Biology, Ecology

This chapter defines and formulates demographic and environmental stochasticity, and illustrates statistical methods for estimating them from field data. Population fluctuations in most species are ... More


Population Variability and Bayesian Inference

Terran Lane

in The Dynamic Brain: An Exploration of Neuronal Variability and Its Functional Significance

Published in print:
2011
Published Online:
September 2011
ISBN:
9780195393798
eISBN:
9780199897049
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195393798.003.0015
Subject:
Neuroscience, Behavioral Neuroscience, Development

Neuroscience data, from single-neuron recordings to whole-brain functional neuroimaging, is swamped with variability. The system under examination changes from subject to subject, trial to trial, ... More


Introduction

Carey Witkov and Keith Zengel

in Chi-Squared Data Analysis and Model Testing for Beginners

Published in print:
2019
Published Online:
November 2019
ISBN:
9780198847144
eISBN:
9780191882074
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780198847144.003.0001
Subject:
Physics, Theoretical, Computational, and Statistical Physics, Particle Physics / Astrophysics / Cosmology

Model testing and parameter estimation are inextricably linked but often done separately. Chi-squared analysis combines model testing with parameter estimation, improving on both and providing ... More


Maximum Likelihood Approaches to Meta-analysis

Kerrie Mengersen and Christopher H. Schmid

in Handbook of Meta-analysis in Ecology and Evolution

Published in print:
2013
Published Online:
October 2017
ISBN:
9780691137285
eISBN:
9781400846184
Item type:
chapter
Publisher:
Princeton University Press
DOI:
10.23943/princeton/9780691137285.003.0010
Subject:
Biology, Ecology

This chapter discusses an alternative, more general approach based on maximizing the likelihood of the data; that is, for a model with unknown parameters, finding the parameter values that are “most ... More


A Theory of Approximation for Stochastic Biochemical Processes

David Thorsley and Eric Klavins

in Control Theory and Systems Biology

Published in print:
2009
Published Online:
August 2013
ISBN:
9780262013345
eISBN:
9780262258906
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262013345.003.0012
Subject:
Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies

This chapter analyzes stochastic models, demonstrating a powerful technique for model comparison and model calibration. The method uses the mathematical construct known as the Wasserstein ... More


Case Study 1: Falling Chains

Carey Witkov and Keith Zengel

in Chi-Squared Data Analysis and Model Testing for Beginners

Published in print:
2019
Published Online:
November 2019
ISBN:
9780198847144
eISBN:
9780191882074
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780198847144.003.0005
Subject:
Physics, Theoretical, Computational, and Statistical Physics, Particle Physics / Astrophysics / Cosmology

The one-parameter chi-squared methodology for parameter estimation and model testing is applied to an introductory physics lab experiment involving a falling chain. Data collection details along with ... More


Two–Parameter Chi-squared Analysis

Carey Witkov and Keith Zengel

in Chi-Squared Data Analysis and Model Testing for Beginners

Published in print:
2019
Published Online:
November 2019
ISBN:
9780198847144
eISBN:
9780191882074
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780198847144.003.0004
Subject:
Physics, Theoretical, Computational, and Statistical Physics, Particle Physics / Astrophysics / Cosmology

The chi-squared parameter estimation and model testing methodology is extended to the two-parameter case of a line with a slope and an intercept. Chi-squared is shown to be a paraboloid and is ... More


Analysis of Experimental Data and Fitting Problems

Anna Greenbaum-Gutina, Paul Ben Ishai, and Yuri Feldman

in Dielectric Relaxation in Biological Systems: Physical Principles, Methods, and Applications

Published in print:
2015
Published Online:
August 2015
ISBN:
9780199686513
eISBN:
9780191766398
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199686513.003.0007
Subject:
Physics, Soft Matter / Biological Physics

This chapter describes the main principles of dielectric spectra analysis, including different dielectric data presentations and processing techniques. Three main crucial fitting problems of ... More


Control of Permanent Magnet Synchronous Motors

Sadegh Vaez-Zadeh

Published in print:
2018
Published Online:
April 2018
ISBN:
9780198742968
eISBN:
9780191802942
Item type:
book
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780198742968.001.0001
Subject:
Physics, Condensed Matter Physics / Materials

This is the first comprehensive, coherent, and up-to-date book devoted solely to the control of permanent magnet synchronous (PMS) motors, as the fastest growing AC motor. It covers a deep and ... More


Case Study 2: Modeling Air Resistance on Falling Coffee Filters

Carey Witkov and Keith Zengel

in Chi-Squared Data Analysis and Model Testing for Beginners

Published in print:
2019
Published Online:
November 2019
ISBN:
9780198847144
eISBN:
9780191882074
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780198847144.003.0006
Subject:
Physics, Theoretical, Computational, and Statistical Physics, Particle Physics / Astrophysics / Cosmology

The two-parameter chi-squared methodology for parameter estimation and model testing is applied to an introductory physics lab experiment to model air resistance on falling coffee filters. Data ... More


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