This book focuses on recent developments in representational and processing aspects of complex data-intensive applications. Until recently, information systems have been designed around different bu
Experts examine new modeling strategies for the interpretation of biological data and their integration into the conceptual framework of theoretical biology, detailing approaches that focus on morphol
Data-lntensive Scientific Discovery and Applications——Proceedings of International Workshop on Data-Intensive Scientific Discovery and Applications(2013)
Basic text on deterministic optimization methods. Techniques of modeling real world decision making problems, modeling examples that illustrate the use of modeling techniques, and a variety of problem
How this book is different from other Marketing Modeling books and what you can get from it This book integrates Marketing and Statistical concepts and is written for Marketing Modelers, Model Users,
Statistical ideas and methods underlie just about every aspect of modern life. From randomized clinical trials in medical research, to statistical models of risk in banking and hedge fund industries,
Regression and classification methods based on similarity of the input to stored examples have not been widely used in applications involving very large sets of high-dimensional data. Recent advances
The process of inductive inference -- to infer general laws and principles from particular instances -- is the basis of statistical modeling, pattern recognition, and machine learning. The Minimum Des
Introduction to basic statistical concepts and to concept of "adjustment" also covers solution by least squares of more complicated problems and takes into account the propagation of error, general pr
Under attack by bugs, bots and viruses, your computer needs your help. Sucked into the data system you must use your statistical knowledge to thwart the Attack on Circuit City. Finding the answers ena
Rhyming text provides an introduction to statistics, including how to collect statistics, methods of displaying statistics, and using mean, median, and mode to analyze the data.
Handy guide includes a 70-page outline of essential statistical formulas covering grouped and ungrouped data, finite populations, probability, nonparametric tests, analysis of variance, and more, plus
This systematic algebraic approach covers statistical mechanics, quantum field theory, and mathematical physics. In addition to a careful formulation of the problems' physical motivations, it features
Some ten years ago, when completing with J.-B. Zuber a previous text on Quantum Field Theory, the senior author was painfully aware that little mention was made that methods in statistical physics and
Nontechnical survey helps to improve the ability to judge the quality of statistical evidence and to make better-informed decisions. Discusses common statistical pitfalls: unrealistic estimates, impro
Chaos theory has touched on such fields as biology, cognitive science, and physics. By providing a unified and complete explanation of new statistical methods that are useful for testing for chaos in
This monograph constructs classical statistical mechanics as a deductive system, based on the equations of motion and the basic postulates of probability. The treatment consists chiefly of theorems an
You can't get anywhere in your statistics course without grasping statistical significance. it's often seen as difficult but is actually a straightforward concept everyone can - and should - understan
Vowel teams can make both long and complex vowel sounds. The special complex vowel teams can be spelled many different ways. They can be used to build common words we use everyday. Let's discover what
Microsoft Excel is an incredible application, feature-rich and easy to use if you know how. It can help with the simplest of jobs, from shopping lists to presentation of data, to more complex formulas
This handy, pocket-version of the Universal Methods of Design provides the same thorough and critical presentation of 100 research methods, synthesis/analysis techniques, and research deliverables for
Big Data For Beginners!The Ultimate Beginners Crash Course To Understanding And Interpreting Big Data!Are You Ready To Learn How To Understand SMART Big Data, Data Mining & Data Analytics For improved
Data is the vital raw material in our modern information economy. There is already an incredible amount of digital data in the world, and it's doubling every two years. Business decisions used to be b
This book offers a brief course in statistical inference that requires only a basic familiarity with probability and matrix and linear algebra. Ninety problems with solutions make it an ideal choice f
Presents easy-to-follow instructions on using modeling clay and other materials to create animal sculptures, including ladybugs, giraffes, crabs, dogs, rabbits, and turtles.
This concise introduction to statistical mechanics is geared toward students and professionals concerned with any branch of solid state physics or low temperature physics. It presents the principles,
This even-handed treatment addresses the decades-old dispute among probability theorists, asserting that both statistical and inductive probabilities may be treated as sentence-theoretic measurements,
A thorough exploration of the universal principles of thermodynamics and statistical mechanics, this volume takes an applications-oriented approach to a multitude of situations arising in physics and
Using Large Corpora identifies new data-oriented methods for organizing and analyzing large corpora and describes the potential results that the use of large corpora offers. Today, large corpora con
Based on intensive study of paintings by the great masters, this volume covers techniques for painting on wood panels, paper, walls, and canvas. It explores the use of watercolors, balsams, resins, tu
Personal data is data about people. Researchers collect personal data to learn more about populations. Companies collect personal data online to help sell their products. Personal Data Collection expl
Partial least squares is a new approach in structural equation modeling that can pay dividends when theory is scarce, correct model specifications are uncertain, and predictive accuracy is paramount.
Is the Brexit vote successful big data politics or the end of democracy? Why do airlines overbook, and why do banks get it wrong so often? How does big data enable Netflix to forecast a hit, CERN to f
Saddle up and take a journey to the bottom of the Grand Canyon. On foot or on mule, a visitor can examine geological clues found in rocks and fossils. Analyzing data can help to tell the story of the
A deep and riveting psychological thriller inspired by true events of the Victorian era,The Medea Complex explores the nature of the human psyche: what possesses us, what drives us, and how love, pass
Data is too big to be left to the data analysts. Here, Prickly Paradigm brings together five researchers whose work is deeply informed by anthropology, understood as more than a basket of ethnographic
Analysis means looking at the data from an experiment and determining if the results support or disprove your hypothesis. This volume explains how to do this through accurate data collection as well a
Downloadable Excel worksheets and solutions to end-of-chapter exercises accompanyFinancial Modeling, Fourth Edition, by Simon Benninga. Access codes are required to download thesupplemental material.
