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1. |
Record Nr. |
UNINA9910822340303321 |
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Autore |
McCormick Keith (Consultant) |
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Titolo |
SPSS statistics for dummies / / Keith McCormick and Jesus Salcedo, with Aaron Poh |
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Pubbl/distr/stampa |
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Hoboken, NJ : , : John Wiley & Sons, Inc., , 2015 |
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©2015 |
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ISBN |
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Edizione |
[Third edition.] |
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Descrizione fisica |
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1 online resource (xii, 370 pages) : illustrations |
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Collana |
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Disciplina |
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Soggetti |
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Social sciences - Statistical methods - Computer programs |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Title Page; Copyright Page; Table of Contents; Introduction; About This Book; Foolish Assumptions; Icons Used in This Book; Beyond the Book; Where to Go from Here; Part I Getting Started with SPSS; Chapter 1 Introducing SPSS; Garbage In, Garbage Out: Recognizing the Importance of Good Data; Talking to SPSS: Can You Hear Me Now?; The graphical user interface; Syntax; Python programs; Python scripts; How SPSS Works; Getting Help When You Need It; Chapter 2 Installing SPSS; Getting SPSS onto Your Computer; What you need for running SPSS; Cranking up the installer; The SPSS installation sequence |
Late registration Starting SPSS; Chapter 3 A Simple Statistical Analysis Example; When the Tanana at Nenana Thaws; Entering the Data; Entering the data definitions; Entering the actual data; The Most Likely Hour; Transforming Data; The Two Kinds of Numbers; The Day It's Most Likely to Happen; Part II Getting Data in and out of SPSS; Chapter 4 Entering and Defining Data; Entering Variable Definitions on the Variable View Tab; Name; Type; Width; Decimals; Label; Values; Missing; Columns; Align; Measure; Role; Entering and Viewing Data Items on the Data View Tab |
Filling In Missed Categorical Values Chapter 5 Opening Data Files; Getting Acquainted with the SPSS File Format; Formatting a Text File for Input into SPSS; Reading Simple Data from a Text File; Transferring Data from Another Program; Reading an Excel file; Reading from an unknown program type; Saving Data and Images; Chapter 6 Getting |
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Data and Results out of SPSS; Printing; Exporting to a Database; Using SPSS Statistics Viewer; Simple copy and paste; Creating an HTML web page file; Creating a text file; Creating an Excel file; Creating a Word document file |
The LENGTH Function The ANY Function; The MEAN Function and Missing Data; Chapter 10 Manipulating Files; Merging Files Adding Cases; Merging Files Adding Variables; Part IV Graphing Data; Chapter 11 On the Menu: Graphing Choices in SPSS; Building Graphs the Chart Builder Way; The Gallery tab; The Basic Elements tab; The Groups/Point ID tab; The Titles/Footnotes tab; The Element Properties dialog box; The Options dialog box; Building Graphs with the Graphboard Template Chooser; Chapter 12 Building Graphs Using the Chart Builder; Simple Graphs; Simple scatterplots; Simple dot plots |
Simple bar graphs |
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Sommario/riassunto |
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The ultimate beginner's guide to SPSS and statistical analysis SPSS Statistics For Dummies is the fun and friendly guide to mastering SPSS. This book contains everything you need to know to get up and running quickly with this industry-leading software, with clear, helpful guidance on working with both the software and your data. Every chapter of this new edition has been updated with screenshots and steps that align with SPSS 23.0. You'll learn how to set up the software and organize your workflow, then delve deep into analysis to discover the power of |
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2. |
Record Nr. |
UNINA9911006675703321 |
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Titolo |
Control and optimization with differential-algebraic constraints / / edited by Lorenz T. Biegler, Stephen L. Campbell, Volker Mehrmann |
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Pubbl/distr/stampa |
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Philadelphia, Pa., : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), 2012 |
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ISBN |
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1-68015-786-8 |
1-61197-225-6 |
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Descrizione fisica |
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1 electronic text (xii, 344 p.) : digital file |
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Collana |
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Advances in design and control |
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Altri autori (Persone) |
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BieglerLorenz T |
CampbellS. L (Stephen La Vern) |
MehrmannV. L <1955-> (Volker Ludwig) |
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Disciplina |
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Soggetti |
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Differential-algebraic equations |
Control theory |
Mathematical optimization |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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1. DAEs, control, and optimization -- 2. Regularization of linear and nonlinear descriptor systems -- 3. Notes on linearization of DAEs and on optimization with differential-algebraic constraints -- 4. Spectra and leading directions for linear DAEs -- 5. StratiGraph tool : matrix stratifications in control applications -- 6. Descriptor system techniques in solving H2-optimal fault detection and isolation problems -- 7. Normal forms, high-gain, and funnel control for linear differential-algebraic systems -- 8. Linear-quadratic optimal control problems with switch points and a small parameter -- 9. Mixed-integer DAE optimal control problems : necessary conditions and bounds -- 10. Optimal control of a delay PDE -- 11. Direct transcription with moving finite elements -- 12. Solving parameter estimation problems with SOCX -- 13. Control of integrated chemical process systems using underlying DAE models -- 14. DMPC for building temperature regulation -- 15. Dynamic regularization, level set shape optimization, and computed myography -- 16. The application of Pontryagin's minimum principle for endpoint optimization of batch processes. |
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Sommario/riassunto |
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Differential-algebraic equations are the most natural way to mathematically model many complex systems in science and engineering. Once the model is derived, it is important to optimize the design parameters and control it in the most robust and efficient way to maximize performance. This book presents the latest theory and numerical methods for the optimal control of differential-algebraic equations. The following features are presented in a readable fashion so the results are accessible to the widest audience: the most recent theory, written by leading experts from a number of academic and nonacademic areas and departments; several state-of-the-art numerical methods; and real-world applications. |
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