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Probit and Logit Analysis

response has been tested by using the probit and logit anaysis in this book. From the analysis, LC50, LT50, LD50, goodness of fit, anlysis;

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Advances in Credit Risk Modelling and Corporate Bankruptcy Prediction

. Topics covered include probit models (in particular bivariate probit modelling), advanced logistic regression models (in particular mixed logit;

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Advances in Credit Risk Modelling and Corporate Bankruptcy Prediction

. Topics covered include probit models (in particular bivariate probit modelling), advanced logistic regression models (in particular mixed logit;

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International Bank Lending & Country Risk

This book focuses on borrower default. A probit model is used to estimate the probability of default/rescheduling. In most studies;

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Handbook of Research Design and Social Measurement

well as new methodological tools such as event history analysis and probit and logit models. This edition also includes a thorough critique;

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Multivariate Analysis with LISREL

, but also several other multivariate analysis topics, including regression (univariate, multivariate, censored, logistic, and probit;

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Probit Analysis

Originally published in 1947, this classic study by D. J. Finney was the first to examine and explai;...

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Labour Market and Retirement Interactions

empirical evidence and quantitative analysis of retirement and labor market flows. It studies the horizon effect and uses French individual data and;

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Understanding Multivariate Research

of topics generally delays training in regression analysis and other multivariate techniques until a student's second year. William Berry and;

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Understanding Multivariate Research

of topics generally delays training in regression analysis and other multivariate techniques until a student's second year. William Berry and;

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Drug Synergism and Dose-Effect Data Analysis

presentation of probit and logit analysis and provides detailed calculation methods not found in typical statistics books. Numerous examples;

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Drug Synergism and Dose-Effect Data Analysis

presentation of probit and logit analysis and provides detailed calculation methods not found in typical statistics books. Numerous examples;

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Statistical and Econometric Methods for Transportation Data Analysis

models. ... It is one of the few books that cover an extensive set of statistical methods needed for data analysis in transportation. The book;

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Introduction To Bayesian Econometrics

regression and new sections on the ordinal probit, item response, factor analysis, ARCH-GARCH and stochastic volatility models. The new edition also;

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Reliability Analysis with Minitab

, and probit analysis. Illustrating the application of Minitab for reliability analysis, this book explains how to: Perform;

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Reliability Analysis with Minitab

, and probit analysis. Illustrating the application of Minitab for reliability analysis, this book explains how to;

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Mikrookonometrie

: Probit- und Logit-Modelle sowie loglineare Wahrscheinlichkeitsmodelle fur qualitative abhangige Variable, Modelle vom Tobit-Typ fur gestutzte;

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Regression With Social Data

An accessible introduction to the use of regression analysis in the social sciences Regression with Social Data: Modeling Continuous and;

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The efficiency of early warning indicators for financial crises

is evaluated. An analysis of the traditional and recent literature on currency crises is performed in order to extract potential early warning;

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Introduction to Bayesian Econometrics

semiparametric regression and new sections on the ordinal probit, item response, factor analysis, ARCH-GARCH and stochastic volatility models. The new;

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Cambridge Series in Statistical and Probabilistic Mathematics

, including regularization techniques to structure predictors. In addition to standard methods such as the logit and probit model and extensions to;

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Categorical Data Analysis

Praise for the Second Edition A must-have book for anyone expecting to do research and/or applications in categorical data analysis;

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The Economics of Crime in Ethiopia

the economic and social factors, there is a need to know which factors dominantly affect the crime rate in the country. To study this, probit;

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Demand for health and health care in Ethiopia

with Probit model while the number of physician visits is modeled with Zero- inflated Poisson model. The analysis should be useful for any;

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OEkonometrie fur Dummies

, Regressionsmodellen, Logit- & Probit-Modellen und allen weiteren gangigen Methoden der Okonometrie. So begleitet Okonometrie fur Dummies Sie Schritt fur;

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Discrete Choice Methods with Simulation

is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety;

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Nonparametric Econometrics

models, logit-probit and censored models. Nonparametric and semiparametric methods potentially offer considerable reward to applied researchers;

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