An introduction to statistical modelling / Wojtek J. Krzanowski.
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Summary: This introduction to statistical modelling assumes a basic statistical methods course and a linear algebra course have been taken by the student.
Distributions and inference - Normal response and quantitative explanatory variables: regression - Normal response and qualitative explanatory variables: analysis of variance - Non-normality: the theory of generalized linear models - Binomial response variables: logistic regression and related methods - Tables of counts and log-linear models - Further topics.
Item type | Current library | Home library | Shelving location | Class number | Status | Date due | Barcode | Item reservations | |
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Paul Hamlyn Library | Paul Hamlyn Library | Floor 2 | 519.5 KRZ (Browse shelf(Opens below)) | Issued | 24/03/2025 | 06001947 |
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519.5 KRA Statistics for the terrified. | 519.5 KRA Statistics for the terrified/ | 519.5 KRA Statistics for the terrified/ | 519.5 KRZ An introduction to statistical modelling / | 519.5 LAK How to use statistics / | 519.5 LAK How to use statistics / | 519.5 LAK How to use statistics / |
Includes bibliography (p. [245]-246) and index.
Distributions and inference - Normal response and quantitative explanatory variables: regression - Normal response and qualitative explanatory variables: analysis of variance - Non-normality: the theory of generalized linear models - Binomial response variables: logistic regression and related methods - Tables of counts and log-linear models - Further topics.
This introduction to statistical modelling assumes a basic statistical methods course and a linear algebra course have been taken by the student.
Specialized.
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