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1. |
Record Nr. |
UNINA9910438148403321 |
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Autore |
Miller William |
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Titolo |
OpenStat Reference Manual / / by William Miller |
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Pubbl/distr/stampa |
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New York, NY : , : Springer New York : , : Imprint : Springer, , 2013 |
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ISBN |
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1-283-90857-3 |
1-4614-5740-8 |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (419 p.) |
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Disciplina |
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Soggetti |
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Statistics |
Social sciences - Statistical methods |
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy |
Statistical Theory and Methods |
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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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Description based upon print version of record. |
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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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OPENSTAT REFERENCE MANUAL.- PREFACE.- TABLE OF CONTENTS -- INTRODUCTION.- INSTALLING OPENSTAT.- STARTING OPENSTAT.- FILES.- CREATING A FILE.- ENTERING DATA.- SAVING A FILE.- DISTRIBUTIONS.- DESCRIPTIVE ANALYSES.- VERSUS Y PLOTS.- VERSUS MULTIPLE Y PLOT.- CORRELATION.- COMPARISONS.- MULTIVARIATE.- NON-PARAMETRIC.- MEASUREMENT.- STATISTICAL PROCESS CONTROL .- LINEAR PROGRAMMING.- THE ITEM BANKING PROGRAM.- NEURAL NETWORKS.- USING THE PROGRAM.- EXAMPLES -- INDEX. |
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Sommario/riassunto |
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This reference manual for the OpenStat software, an open-source software developed by William Miller, covers a broad spectrum of statistical methods and techniques. A unique feature is its compatibility with many other statistical programs. OpenStat users are researchers and students in the social sciences, education, or psychology, who benefit from the hands on approach to Statistics. During and upon completion of courses in Statistics or measurement, students and future researchers need a low cost computer program available to them, and OpenStat fills this void. The software is used in Statistics courses around the world with over 50,000 downloads per year. The manual covers all functions of the |
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OpenStat software, including measurement, ANOVAS, regression analyses, simulations, product-moment and partial correlations, and logistic regression. The manual is an important learning tool that explains the Statistics behind the many analyses possible with the program and demonstrates these analyses. William Miller has a diverse background in Industrial Technology, Psychology, Statistics and Measurement. He has taught courses in Electronics, computer programming, educational psychology, measurement and statistics and published many articles in these subject areas He has taught statistics for over 30 years and developed a number of statistical packages for free use by educators and researchers in a variety of fields including education, psychology, medicine, economics and geology. He received his PhD. from the University of Iowa in Educational Psychology, Statistics and Measurement. His academic experiences include director of two university computing centers, director of a counseling center and assistant to a university president for information services in addition to his teaching. |
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2. |
Record Nr. |
UNINA9910743280803321 |
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Titolo |
The 2nd International Conference on Computational Engineering and Intelligent Systems |
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Pubbl/distr/stampa |
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MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
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Descrizione fisica |
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1 online resource (168 p.) |
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Soggetti |
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History of engineering & technology |
Technology: general issues |
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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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Sommario/riassunto |
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This Proceedings reprint comprises a collection of the papers presented at the second International Conference on Computational Engineering and Intelligent Systems, held online in the period 18-20 November |
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2022. The conference focused on computational engineering including modeling, simulation, analysis, and intelligent systems driven by computing and artificial intelligence. The papers included in this collection deal with a range of topics including smart grids, renewable energies, intelligent safety and control systems, power quality and cloud computing. |
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