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SPSS Statistics for data analysis and visualization / / Keith McCormick, Jesus Salcedo ; with Jon Peck and Andrew Wheeler
| SPSS Statistics for data analysis and visualization / / Keith McCormick, Jesus Salcedo ; with Jon Peck and Andrew Wheeler |
| Autore | McCormick Keith (Consultant) |
| Pubbl/distr/stampa | Indianapolis, Indiana : , : Wiley, , 2017 |
| Descrizione fisica | 1 online resource (531 pages) : illustrations |
| Disciplina | 005.55 |
| Collana | THEi Wiley ebooks. |
| Soggetto topico | Social sciences - Statistical methods - Computer programs |
| ISBN |
1-119-00557-4
1-119-00366-0 1-119-18342-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. Advanced statistics -- Comparing and contrasting IBM SPSS AMOS with other multivariate techniques -- Monte Carlo simulation and IBM SPSS bootstrapping -- Regression with categorical outcome variables -- Building hierarchical linear models -- Part II. Data visualization -- Take your data visualizations to the next level -- The code behind SPSS graphics: graphics production language -- Mapping in IBM SPSS statistics -- Geospatial analytics -- Perceptual mapping with correspondence analysis, GPL, and OMS -- Display complex relationships with multidimensional scaling -- Part III. Predictive analysis -- SPSS statistics versus SPSS modeler: can I be a data miner using SPSS statistics? -- IBM SPSS data preparation -- Model complex interactions with IBM SPSS neural networks -- Powerful and intuitive: IBM SPSS decision trees -- Find patterns and make predictions with K nearest neighbors -- Part IV. Syntax, data management, and programmability -- Write more efficient and elegant code with SPSS syntax techniques -- Automate your analyses with SPSS syntax and the output management system -- Statistical extension commands. |
| Record Nr. | UNINA-9910270904203321 |
McCormick Keith (Consultant)
|
||
| Indianapolis, Indiana : , : Wiley, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
SPSS Statistics for data analysis and visualization / / Keith McCormick, Jesus Salcedo ; with Jon Peck and Andrew Wheeler
| SPSS Statistics for data analysis and visualization / / Keith McCormick, Jesus Salcedo ; with Jon Peck and Andrew Wheeler |
| Autore | McCormick Keith (Consultant) |
| Pubbl/distr/stampa | Indianapolis, Indiana : , : Wiley, , 2017 |
| Descrizione fisica | 1 online resource (531 pages) : illustrations |
| Disciplina | 005.55 |
| Collana | THEi Wiley ebooks. |
| Soggetto topico | Social sciences - Statistical methods - Computer programs |
| ISBN |
1-119-00557-4
1-119-00366-0 1-119-18342-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. Advanced statistics -- Comparing and contrasting IBM SPSS AMOS with other multivariate techniques -- Monte Carlo simulation and IBM SPSS bootstrapping -- Regression with categorical outcome variables -- Building hierarchical linear models -- Part II. Data visualization -- Take your data visualizations to the next level -- The code behind SPSS graphics: graphics production language -- Mapping in IBM SPSS statistics -- Geospatial analytics -- Perceptual mapping with correspondence analysis, GPL, and OMS -- Display complex relationships with multidimensional scaling -- Part III. Predictive analysis -- SPSS statistics versus SPSS modeler: can I be a data miner using SPSS statistics? -- IBM SPSS data preparation -- Model complex interactions with IBM SPSS neural networks -- Powerful and intuitive: IBM SPSS decision trees -- Find patterns and make predictions with K nearest neighbors -- Part IV. Syntax, data management, and programmability -- Write more efficient and elegant code with SPSS syntax techniques -- Automate your analyses with SPSS syntax and the output management system -- Statistical extension commands. |
| Record Nr. | UNINA-9910825562003321 |
|
McCormick Keith (Consultant)
|
||
| Indianapolis, Indiana : , : Wiley, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||