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Applied Statistics Using SPSS, STATISTICA and MATLAB
Assuming no previous statistics education, this practical reference provides a comprehensive introduction and tutorial on the main statistical analysis topics, demonstrating their solution with the most common software package. Intended for anyone needing to apply statistical analysis to a large variety of science and enigineering problems, the book explains and shows how to use SPSS, MATLAB, STATISTICA and R for analysis such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. It concisely explains key concepts and methods, illustrated by practical examples using real data, and includes a CD-ROM with software tools and data sets used in the examples and exercises. Readers learn which software tools to apply and also gain insights into the comparative capabilities of the primary software packages.
Applied Statistics Using SPSS, STATISTICA and MATLAB
Assuming no previous statistics education, this practical reference provides a comprehensive introduction and tutorial on the main statistical analysis topics, demonstrating their solution with the most common software packages. Intended for anyone applying statistical analysis to a wide variety of science and engineering problems, the book shows how to use SPSS, MATLAB, and STATISTICA for data analyses, such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics
Pattern Recognition
The book provides a comprehensive view of pattern recognition concepts and methods, illustrated with real-life applications in several areas. A CD-ROM offered with the book includes datasets and software tools, making it easier to follow in a hands-on fashion, right from the start.
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
This book constitutes the refereed proceedings of the 16th Iberoamerican Congress on Pattern Recognition, CIARP 2011, held in Pucón, Chile, in November 2011. The 81 revised full papers presented together with 3 keynotes were carefully reviewed and selected from numerous submissions. Topics of interest covered are image processing, restoration and segmentation; computer vision; clustering and artificial intelligence; pattern recognition and classification; applications of pattern recognition; and Chilean Workshop on Pattern Recognition.
Recent Innovations in Sciences and Humanities
The Conference covered a wide range of themes in various disciplines. In the field of English, the conference focused on digital tools in teaching and learning, the use of AI in language teaching and learning, literature in English language teaching, teacher training, and professional development, as well as linguistic competence in English language teachers. For those interested in mathematics, the conference explored topics such as computational methods for linear and non-linear optimization, mathematical models for computer science, numerical analysis, boundary value problems, real and complex analysis, probability and statistics, fluid dynamics, sequence spaces, mathematics education, ap...
A Critical Appraisal of Fetal Surveillance
A review of the latest progress in foetal surveillance by clinicians and scientists with expertise in the field of foetal monitoring. Techniques, methods, (patho-) physiologic backgrounds, risk factors and groups, results analysis and medico-legal outcomes of foetal monitoring are covered.
Applied Statistics Using SPSS, STATISTICA, MATLAB and R
Intended for anyone needing to apply statistical analysis to a large variety of science and engineering problems, this book shows how to use SPSS, MATLAB, STATISTICA and R for data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. The 2nd edition includes the R language, a new section on bootstrap estimation methods and an improved treatment of tree classifiers, plus additional examples and exercises.
Rethinking Shakespeare Source Study
This book asks new questions about how and why Shakespeare engages with source material, and about what should be counted as sources in Shakespeare studies. The essays demonstrate that source study remains an indispensable mode of inquiry for understanding Shakespeare, his authorship and audiences, and early modern gender, racial, and class relations, as well as for considering how new technologies have and will continue to redefine our understanding of the materials Shakespeare used to compose his plays. Although source study has been used in the past to construct a conservative view of Shakespeare and his genius, the volume argues that a rethought Shakespearean source study provides opport...
Smart Engineering System Design
Contains the 170 technical presentations from the November 2000 conference. The papers focus on building smart components to engineering systems currently available. The term smart in this context indicates physical systems that can interact with their environment and adapt to changes in both space and time. In addition to the technologies stated in the volume title, the papers also discuss adaptive control, pattern recognition, biology, and medicine. Topics include a neural network for segmentation of line drawings into lines of different orientations, evolutionary synthesis of logic functions using multiplexers, visualizing data association using self- organizing feature maps, a fuzzy knowledge model for estimating the depth of anesthesia, prediction of welding droplet release using time series data mining, and critical dimension control in semiconductor manufacturing. Annotation copyrighted by Book News, Inc., Portland, OR.
