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  • R book 2007, Wiley
    Preface -- 1. Getting started -- 2. Essentials of the R language -- 3. Data input -- 4. Dataframes -- 5. Graphics -- 6. Tables -- 7. Mathematics -- 8. Classical tests -- 9. Statistical modelling -- 10. Regression -- 11. Analysis of variance -- 12. Analysis of covariance -- 13. Generalized linear models -- 14. Count data -- 15. Count data in tables -- 16. Proportion data -- 17. Binary response variables -- 18. Generalized additive models -- 19. Mixed-effects models -- 20. Non-linear regression -- 21. Tree models -- 22. Time series analysis -- 23. Multivariate statistics -- 24. Spatial statistics -- 25. Survival analysis -- 26. Simulation models -- 27. Changing the look of graphics -- References and further reading -- Index.
  • "Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: Those who are familiar with the theory and applications of linear statistical models and wish to learn or enhance their skills in R; and those who are enrolled in an R-based course on regression and analysis of variance. For those who have never used R, the book begins with a self-contained introduction to R that lays the foundation for later chapters.This book includes extensive and carefully explained examples of how to write programs using the R programming language. These examples cover methods used for linear regression and designed experiments with up to two fixed-effects factors, including blocking variables and covariates. It also demonstrates applications of several pre-packaged functions for complex computational procedures"-- Provided by publisher.
  • R cookbook. 1st ed. 2011, ProQuest Safari
  • R graphics 2006, CRCnetBASE
  • R graphics. 2nd ed. 2011, CRCnetBASE
    An introduction to R graphics -- Traditional graphics. Simple usage of traditional graphics -- Customizing traditional graphics -- Grid graphics. Trellis graphics : the lattice package -- The grammar of graphics : the ggplot2 package -- The grid graphics model -- The grid graphics object model -- Developing new graphics functions and objects -- The graphics engine. Graphics formats -- Graphical parameters -- Graphics packages. Graphics extensions -- Plot extensions -- Graphics for categorical data -- Maps -- Node-and-edge graphs -- 3D graphics -- Dynamic and interactive graphics -- Importing graphics -- Combining graphics systems.
  • R in a nutshell 2010, ProQuest Safari
  • R primer 2012, CRCnetBASE
  • ch. 1. Introduction, p. 1-9 -- ch. 2. Analysis and Verification of Non-Real-Time Systems, p. 10-40 -- ch. 3. Real-Time Scheduling and Schedulability Analysis, p. 41-85 -- ch. 4. Model Checking of Finite-State Systems, p. 86-133 -- ch. 5. Visual Formalism, Statecharts, and Statemate, p. 134-147 -- ch. 6. Real-Time Logic, Graph-Theoretic Analysis, and Modechart, p. 148-186 -- ch. 7. Verification Using Timed Automata, p. 187-211 -- ch. 8. Timed Petri Nets, p. 212-236 -- ch. 9. Process Algebra, p. 237-258 -- ch. 10. Design and Analysis of Propositional-Logic Rule-Based Systems, p. 259-366 -- ch. 11. Timing Analysis of Predicate-Logic Rule-Based Systems, p. 367-435 -- ch. 12. Optimization of Rule-Based Systems, p. 436-465.
  • Review of fundamental of statistics -- Bivariate linear regression and correlation -- Misspecified disturbance terms -- Nonparametric regression -- Logistic regression -- Bayesian regression -- Robust regression -- Fuzzy regression -- Random coefficients regression -- L1 and q-Quantile regression -- Regression in a spatial domain -- Multiple regression -- Normal correlation models -- Ridge regression -- Indicator variables -- Polynomial model estimation -- Semiparametric regression -- Nonlinear regression -- Issues in time series modeling and estimation.
  • Introduction -- Adaptation and contraction theory for the synchronization of complex neural networks -- Temporal coding is not only about cooperation, it is also about competition -- Using non-oscillatory dynamics to disambiguate pattern mixtures -- Functional constraints on network topology via generalized sparse -- Evolution of time in neural networks, from the present to the past, and forward to the future -- Synchronization of coupled pulse-type hardware neuron models for CPG model -- A univesal abstract-time platform for real-time neural networks -- Solving complex control tasks via simple rule(s), using chaotic dynamics in a recurrent neural network model -- Time scale analysis of neuronal ensemble data used to feed neural network models -- Simultaneous EEG-fMRI, integrating spatial and temporal resolution -- Erratum to: Time scale analysis of neuronal ensemble data used to feed neural network models.
  • Robotic surgery 2014, Springer
    1. Overview of robotic surgery -- 2. The de Vinci Surgical® systesm -- 3. Development of robotic systems -- 4. Robotic surgery in urology -- 5. Robotic gastrectomy for gastric cancer -- 6. Esophageal cancer surgery: robotic esophagectomy - 7. Lateral pelvic node dissection for advanced rectal cancer: current debates and use of the robotic approach -- 8. Cardiac surgery: overview -- 9. Robotically assisted totally endoscopic coronary artery bypass grafting -- 10. Robotic surgery for mitral valve disease -- 11. Robotic surgery in general thoracic surgery -- 12. Robot-assisted thyroidectomy.
  • SAS for dummies 2007, books24x7, SUNet ID login required.
    Fulltext ProQuest Safari
  • SAS functions by example. 2nd ed. 2010, books24x7, SUNet ID login required.
    Fulltext ProQuest Safari
    Character functions -- Perl regular expressions -- Sort functions -- Date and time functions -- Array functions -- Truncation functions -- Descriptive statistics functions -- Mathematical and numeric functions -- Random number functions -- Special functions -- State and ZIP code functions -- Trigonometric functions -- Macro functions -- SAS file I/O functions -- Variable information functions -- Bitwise logical functions.
  • Lessons Learned from the Aviation Industry: Surgical Checklists / Stig Müller and Hitendra R. H. Patel -- Human Factors, Nontechnical Skills, and Surgical Training / Stig Müller, Waleed Al-Singary and Hitendra R. H. Patel -- Current State of Laparoscopic and Robotic Surgery / Jens J. Rassweiler, Marcel Hruza, Thomas Frede and Salvatore Micali -- Simulation and Training in Minimally Invasive Surgery / Sonal Arora, Shabnam Undre and Roger Kneebone -- Value of Virtual Reality in Medical Education / Amina A. Bouhelal, Hitendra R. H. Patel and Bijendra Patel -- The MIMIC Virtual Reality Trainer: Stepping into Three-Dimensional, Binocular, Robotic Simulation / Steven M. Lucas and Chandru P. Sundaram -- Laparoscopic Cholecystectomy Skills Acquisition and Procedural Proficiency in Novices Using Virtual Reality / Amina A. Bouhelal, Hitendra R. H. Patel and Bijendra Patel -- Lesson Learnt from the Military Surgeons Using Simulation in Trauma Surgery / Simon S. Fleming and John-Joe Reilly -- Clinical and Educational Benefits of Surgical Telementoring / Knut Mague Augestad, Taridzo Chomutare, Johan G. Bellika, Andrius Budrionis and Rolv-Ole Lindsetmo, et al. -- Portable Learning and Multimedia in Surgical Training / Narinderjit Singh Kullar, Stig Müller and Hitendra R. H. Patel.
  • Social media has been clearly changing the way medicine is practiced and healthcare is delivered. Medical professionals must be able to meet the special needs of technology-aware patients and use digital technologies in their work and communications properly. Each physician should find the tools that will assist them in their workflow, and patients need to be educated how to use the internet. It is the responsibility of medical professionals to contribute to this process. The constantly evolving digital world must be used in the practice of medicine to improve the care of patients. However, the only way to do so effectively is via evidence-based, meaningful and strategic use. Social Media in Clinical Practice provides practical guidance in this mission and is thus essential reading for all medical personal looking into approaching this for the first time.
  • This book details a model of consciousness supported by scientific experimental data from the human brain. It presents how the Corollary Discharge of Attention Movement (CODAM) neural network model allows for a scientific understanding of consciousness as well as provides a solution to the Mind-Body problem. The book provides readers with a general approach to consciousness that is powerful enough to lead to the inner self and its ramifications for the vast range of human experiences. It also offers an approach to the evolution of human consciousness and features chapters on mental disease (especially schizophrenia) and on meditative states (including drug-induced states of mind). Solving the Mind-Body Problem bridges the gap that exists between philosophers of mind and the neuroscience community, allowing the enormous weight of theorizing on the nature of mind to be brought to earth and put under the probing gaze of the scientific facts of life and mind.
  • SQL cookbook 2006, ProQuest Safari
    Retrieving records -- Sorting query results -- Working with multiple tables -- Inserting, updating, deleting -- Metadata queries -- Working with strings -- Working with numbers -- Date arithmetic -- Date manipulation -- Working with ranges -- Advanced searching -- Reporting and warehousing -- Hierarchical queries -- Odds 'n' ends.
  • SQL for dummies. 6th ed. 2006, SUNet ID login required to search for this title
  • SQL functions programmer's reference 2005, books24x7, SUNet ID login required.
  • Statistical analysis with Excel for dummies 2005, books24x7, SUNet ID login required.
  • "Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream. Unsupervised data analysis, including cluster analysis, factor analysis, and low dimensionality mapping methods continually being updated, have reached new heights of achievement in the incredibly rich data world that we inhabit.Statistical Learning and Data Science is a work of reference in the rapidly evolving context of converging methodologies. It gathers contributions from some of the foundational thinkers in the different fields of data analysis to the major theoretical results in the domain. On the methodological front, the volume includes conformal prediction and frameworks for assessing confidence in outputs, together with attendant risk. It illustrates a wide range of applications, including semantics, credit risk, energy production, genomics, and ecology. The book also addresses issues of origin and evolutions in the unsupervised data analysis arena, and presents some approaches for time series, symbolic data, and functional data. Over the history of multidimensional data analysis, more and more complex data have become available for processing. Supervised machine learning, semi-supervised analysis approaches, and unsupervised data analysis, provide great capability for addressing the digital data deluge. Exploring the foundations and recent breakthroughs in the field, Statistical Learning and Data Science demonstrates how data analysis can improve personal and collective health and the well-being of our social, business, and physical environments. "-- Provided by publisher.
  • Succinct guide to Windows users migrating to the Mac.
  • A guide to the iPhone discusses the features of the device, including the iPhone media and the QWERTY keyboard, as well as its e-mail, voicemail, and calendar functions; Internet connectivity and applications; third-party software to enhance the iPhone; iTunes, iBooks, and iPhone games; power user applications; and accessories
  • Teach yourself visually iPad 2010, ProQuest Safari
    Exploring the iPad -- Understanding what you can do with your iPad -- Configuring the iPad -- Getting the most from the internet -- Maximizing email on the iPad -- Syncing the iPad -- Getting the most from iTunes and photos -- Getting the most from YouTube and iBooks -- Managing contacts and appointments -- Simplifying your life with the iPad -- Enhance your iPad with the app store -- Maintaining and troubleshooting the iPad.
  • Part I. Understanding Tech Mining -- Chapter 1. Technological Innovation and the Need for Tech Mining , p. 2-15 -- Chapter 2. How Tech Mining Works, p. 17-32 -- Chapter 3. What Tech Mining Can Do for You, p. 33-40 -- Chapter 4. Example Results. Fuel Cells Tech Mining, p. 41-50 -- Chapter 5. What to Watch for in Tech Mining, p. 51-66 -- Part II. Doing Tech Mining -- Chapter 7. Forming the Right Query, p. 95-111 -- Chapter 8. Getting the Data, p. 113-127 -- Chapter 9. Basic Analyses, p. 129-154 -- Chapter 10. Advanced Analyses, p. 155-186 -- Chapter 11. Trend Analyses, p. 187-214 -- Chapter 12. Patent Analyses, p. 215-248 -- Chapter 13. Generating and Presenting Innovation Indicators, p. 249-288 -- Chapter 14. Managing the Tech Mining Process, p. 289-306 -- Chapter 15. Measuring Tech Mining Results, p. 307-320 -- Chapter 16. Example Process. Tech Mining on Fuel Cells, p. 321-354 -- Appendix A. Selected Publication and Patent Databases, p. 355-359 -- Appendix B. Text Mining Software, p. 361-362 -- Appendix C. What You Can Do without Tech Mining Software, p. 363-364 -- Appendix D. Statistics and Distributions for Analyzing Text Entities, p. 365-368.
  • Pt. 1. System : tele-healthcare monitoring networks -- pt. 2. Hardware : medical sensors and devices -- pt. 3. Software : medical signal processing -- pt. 4. Others : medical security and privacy.
  • "Medical information is now widely available on the Internet and through telephone helplines such as NHS Direct and the focus on patient self care is likely to increase. Clinicians in all specialties will often encounter patients who have made self-directed searches for medical information prior to the clinical encounter. 'Teleneurology by Internet and Telephone' is a study of patient information-seeking behaviour in neurology patients prior to referral from primary to secondary care. The book analyses frequency of Internet access and use, and of telephone helpline awareness and use. It also explores use of these modalities over time, use according to patient gender and age and by gender and age over time. 'Teleneurology by Internet and Telephone' is an accessible overview of the utility of these modalities of health information provision and will be of interest not only to neurologists and clinicians in other specialities but also to public health researchers, sociologists and political scientists with an interest in questions of health care provision"--Provided by publisher.
  • Understanding MySQL internals 2007, ProQuest Safari
  • "Preface The Matlab programming environment uses Java for numerous tasks, including networking, data-processing algorithms, and graphical user-interface (GUI). Matlab's internal Java classes can often be easily accessed and used by Matlab users. Matlab also enables easy access to external Java functionality, either third-party or user-created. Using Java, we can extensively customize the Matlab environment and application GUI, enabling the creation of very esthetically pleasing applications. Unlike Matlab's interface with other programming languages, the internal Java classes and the Matlab-Java interface were never fully documented by The MathWorks (TMW), the company that manufactures the Matlab product. This is really quite unfortunate: Java is one of the most widely used programming languages, having many times as many programmers as Matlab. Using this huge pool of knowledge and components can significantly improve Matlab applications. As a consultant, I often hear clients claim that Matlab is a fine programming platform for prototyping, but is not suitable for real-world modern-looking applications. This book aimed at correcting this misconception. It shows how using Java can significantly improve Matlab program appearance and functionality and that this can be done easily and even without any prior Java knowledge. In fact, many basic programming requirements cannot be achieved (or are difficult) in pure Matlab, but are very easy in Java. As a simple example, maximizing and minimizing windows is not possible in pure Matlab, but is a trivial one-liner using the underlying Java codeʹ:"--Provided by publisher.
  • Unix in a nutshell. 4th ed. 2006, ProQuest Safari
    Introduction -- Unix commands -- The Unix shell: an overview -- The Bash and Korn shells -- tcsh: an extended C shell -- Package management -- Pattern matching -- The Emacs editor -- The vi, ex, and vim editors -- The sed editor -- The awk programming language -- Source code management: an overview -- The revision control system -- The concurrent versions system -- The subversion version control system -- The GNU make utility -- The GDB debugger -- Writing manual pages.
  • Unofficial guide to Microsoft Office Excel 2007 2007, books24x7, SUNet ID login required.
  • Unofficial guide to Microsoft Office Word 2007 2007, books24x7, SUNet ID login required.
  • VBA for dummies. 5th ed. 2006, books24x7, SUNet ID login required.
  • This book offers cutting-edge visualization techniques and their applications in medical diagnosis, education, and treatment. It includes algorithms, applications, and ideas on achieving reliability of results and clinical evaluation of the techniques covered, and treatment planning, guidance, and training.
  • Web site cookbook 2006, ProQuest Safari
  • Wicked cool Perl scripts useful Perl scripts that solve difficult problems 2006, SUNet ID login required to search for this title
  • Windows XP cookbook ProQuest Safari
  • Windows XP hacks. 2nd ed. 2005, ProQuest Safari
  • Windows XP in a nutshell. 2nd ed. 2005, ProQuest Safari
  • Wireless security 2012, CRCnetBASE
    1. Introduction -- 2. WLAN -- 3. PDAs -- 4. Mobile phones -- 5. Bluetooth -- 6. Infrared -- 7. Security policy.
  • XML in scientific computing 2013, CRCnetBASE
    "Preface XML stands for extensible markup language. In fact, XML is not a language, but a systematic way of encoding and formatting data and statements contained in an electronic file according to a chosen tagging system. A tag may represent a general entity, a physical, mathematical, or abstract object, an instruction, or a computer language construct. The data can describe cars and trucks in a dealer's lot, the chapters of a book, the input or output of a scientific experiment or calculation, the eigenvalues of a matrix, and anything else that can be described by numbers and words. Data presentation and description In the XML framework, information is described and presented in the same doc- ument, thus circumventing the need for legends and explanations. For example, we may order: <breakfast> toast and eggs <breakfast> Further cooking instructions can be included between the breakfast tag enclosed by the pointy brackets (<>) and its closure denoted by the slash (/). Data reuse XML data (input) can be read by a person or parsed and processed by a program (application) that produces a new set of data (output.) Although the input is the same, the output depends on the interpretation of the tags formatting the data. The inherent polymorphism allows us to materialize the same original data in different ways. For example: 1. An author may write a book inserting formatting tags between words, equations, and figures according to xml conventions and grammar. The text (data) file can be processed to produce books with different appear- ances. 2. A scientist may write a finite-element code that produces output tagged according to xml conventions"-- Provided by publisher.
  • XSLT cookbook. 2nd ed. 2006, ProQuest Safari

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