Bayesian Statistical Inference by Gudmund R Iversen
Statisticians now generally acknowledge the theorectical importance of Bayesian inference, if not its practical validity. According to Gudmund R. Iversen, one reason for the lag in applications is that empirical researchers have lacked a grounding in the methodology. His volume provides this introduction and serves as a companion to #4, Tests of Significance.-
Survey Questions
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Q Methodology
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Reliability and Validity Assessment
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Latent Class Analysis
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ANOVA
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Nonparametric Statistics
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Factor Analysis
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Exploratory Data Analysis
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Logistic Regression
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Interaction Effects in Logistic Regression
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Introduction to Factor Analysis
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Interpreting and Using Regression
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Understanding Regression Analysis
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Applied Logistic Regression Analysis
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Multiple Regression in Practice
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Discriminant Analysis
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Confirmatory Factor Analysis
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Applied Regression
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Introduction to Power Analysis
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Introduction to the Laws of Statistical Sampling
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Multiple Time Series Models
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Random Factors in ANOVA
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Loglinear Models with Latent Variables
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Contextual Analysis
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Neural Networks
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Ordinal Log-Linear Models
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Social Choice
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Stochastic Parameter Regression Models
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Analytic Mapping and Geographic Databases
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Probability Theory
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Univariate Tests for Time Series Models
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Introduction to Applied Demography
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Data Theory and Dimensional Analysis
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Nonrecursive Causal Models
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Linear Programming
| SKU | Unavailable |
| ISBN 13 | 9780803923287 |
| ISBN 10 | 0803923287 |
| Title | Bayesian Statistical Inference |
| Author | Gudmund R Iversen |
| Series | Quantitative Applications In The Social Sciences |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | SAGE Publications Inc |
| Year published | 1985-02-21 |
| Number of pages | 80 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |