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Introduction to Probability

Introduction to Probability PDF Author: Joseph K. Blitzstein
Publisher: CRC Press
ISBN: 1466575573
Category : Mathematics
Languages : en
Pages : 599

Book Description
Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.

Introduction to Probability

Introduction to Probability PDF Author: Joseph K. Blitzstein
Publisher: CRC Press
ISBN: 1466575573
Category : Mathematics
Languages : en
Pages : 599

Book Description
Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.

Online Statistics Education

Online Statistics Education PDF Author: David M Lane
Publisher:
ISBN: 9781687894250
Category :
Languages : en
Pages : 406

Book Description
Online Statistics: An Interactive Multimedia Course of Study is a resource for learning and teaching introductory statistics. It contains material presented in textbook format and as video presentations. This resource features interactive demonstrations and simulations, case studies, and an analysis lab.This print edition of the public domain textbook gives the student an opportunity to own a physical copy to help enhance their educational experience. This part I features the book Front Matter, Chapters 1-10, and the full Glossary. Chapters Include:: I. Introduction, II. Graphing Distributions, III. Summarizing Distributions, IV. Describing Bivariate Data, V. Probability, VI. Research Design, VII. Normal Distributions, VIII. Advanced Graphs, IX. Sampling Distributions, and X. Estimation. Online Statistics Education: A Multimedia Course of Study (http: //onlinestatbook.com/). Project Leader: David M. Lane, Rice University.

The Coding Manual for Qualitative Researchers

The Coding Manual for Qualitative Researchers PDF Author: Johnny Saldana
Publisher: SAGE
ISBN: 1446200124
Category : Reference
Languages : en
Pages : 282

Book Description
The Coding Manual for Qualitative Researchers is unique in providing, in one volume, an in-depth guide to each of the multiple approaches available for coding qualitative data. In total, 29 different approaches to coding are covered, ranging in complexity from beginner to advanced level and covering the full range of types of qualitative data from interview transcripts to field notes. For each approach profiled, Johnny Saldaña discusses the method’s origins in the professional literature, a description of the method, recommendations for practical applications, and a clearly illustrated example.

Recurrence Quantification Analysis

Recurrence Quantification Analysis PDF Author: Charles L. Webber, Jr.
Publisher: Springer
ISBN: 3319071556
Category : Science
Languages : en
Pages : 426

Book Description
The analysis of recurrences in dynamical systems by using recurrence plots and their quantification is still an emerging field. Over the past decades recurrence plots have proven to be valuable data visualization and analysis tools in the theoretical study of complex, time-varying dynamical systems as well as in various applications in biology, neuroscience, kinesiology, psychology, physiology, engineering, physics, geosciences, linguistics, finance, economics, and other disciplines. This multi-authored book intends to comprehensively introduce and showcase recent advances as well as established best practices concerning both theoretical and practical aspects of recurrence plot based analysis. Edited and authored by leading researcher in the field, the various chapters address an interdisciplinary readership, ranging from theoretical physicists to application-oriented scientists in all data-providing disciplines.

In Cold Blood

In Cold Blood PDF Author: Truman Capote
Publisher: Modern Library
ISBN: 0812994388
Category : True Crime
Languages : en
Pages : 417

Book Description
Selected by the Modern Library as one of the 100 best nonfiction books of all time From the Modern Library’s new set of beautifully repackaged hardcover classics by Truman Capote—also available are Breakfast at Tiffany’s and Other Voices, Other Rooms (in one volume), Portraits and Observations, and The Complete Stories Truman Capote’s masterpiece, In Cold Blood, created a sensation when it was first published, serially, in The New Yorker in 1965. The intensively researched, atmospheric narrative of the lives of the Clutter family of Holcomb, Kansas, and of the two men, Richard Eugene Hickock and Perry Edward Smith, who brutally killed them on the night of November 15, 1959, is the seminal work of the “new journalism.” Perry Smith is one of the great dark characters of American literature, full of contradictory emotions. “I thought he was a very nice gentleman,” he says of Herb Clutter. “Soft-spoken. I thought so right up to the moment I cut his throat.” Told in chapters that alternate between the Clutter household and the approach of Smith and Hickock in their black Chevrolet, then between the investigation of the case and the killers’ flight, Capote’s account is so detailed that the reader comes to feel almost like a participant in the events.

Artificial Neural Networks and Evolutionary Computation in Remote Sensing

Artificial Neural Networks and Evolutionary Computation in Remote Sensing PDF Author: Taskin Kavzoglu
Publisher: MDPI
ISBN: 3039438271
Category : Science
Languages : en
Pages : 256

Book Description
Artificial neural networks (ANNs) and evolutionary computation methods have been successfully applied in remote sensing applications since they offer unique advantages for the analysis of remotely-sensed images. ANNs are effective in finding underlying relationships and structures within multidimensional datasets. Thanks to new sensors, we have images with more spectral bands at higher spatial resolutions, which clearly recall big data problems. For this purpose, evolutionary algorithms become the best solution for analysis. This book includes eleven high-quality papers, selected after a careful reviewing process, addressing current remote sensing problems. In the chapters of the book, superstructural optimization was suggested for the optimal design of feedforward neural networks, CNN networks were deployed for a nanosatellite payload to select images eligible for transmission to ground, a new weight feature value convolutional neural network (WFCNN) was applied for fine remote sensing image segmentation and extracting improved land-use information, mask regional-convolutional neural networks (Mask R-CNN) was employed for extracting valley fill faces, state-of-the-art convolutional neural network (CNN)-based object detection models were applied to automatically detect airplanes and ships in VHR satellite images, a coarse-to-fine detection strategy was employed to detect ships at different sizes, and a deep quadruplet network (DQN) was proposed for hyperspectral image classification.

Python for Data Analysis

Python for Data Analysis PDF Author: Wes McKinney
Publisher: "O'Reilly Media, Inc."
ISBN: 1491957611
Category : Computers
Languages : en
Pages : 553

Book Description
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples

Understanding Media

Understanding Media PDF Author: Marshall McLuhan
Publisher: Createspace Independent Publishing Platform
ISBN: 9781537430058
Category :
Languages : en
Pages : 396

Book Description
When first published, Marshall McLuhan's Understanding Media made history with its radical view of the effects of electronic communications upon man and life in the twentieth century.

My Sister, the Serial Killer

My Sister, the Serial Killer PDF Author: Oyinkan Braithwaite
Publisher: Anchor
ISBN: 0385544243
Category : Fiction
Languages : en
Pages : 178

Book Description
ONE OF TIME MAGAZINE'S 100 BEST MYSTERY AND THRILLER BOOKS OF ALL TIME • BOOKER PRIZE NOMINEE • “A taut and darkly funny contemporary noir that moves at lightning speed, it’s the wittiest and most fun murder party you’ve ever been invited to.” —MARIE CLAIRE Korede’s sister Ayoola is many things: the favorite child, the beautiful one, possibly sociopathic. And now Ayoola’s third boyfriend in a row is dead, stabbed through the heart with Ayoola’s knife. Korede’s practicality is the sisters’ saving grace. She knows the best solutions for cleaning blood (bleach, bleach, and more bleach), the best way to move a body (wrap it in sheets like a mummy), and she keeps Ayoola from posting pictures to Instagram when she should be mourning her “missing” boyfriend. Not that she gets any credit. Korede has long been in love with a kind, handsome doctor at the hospital where she works. She dreams of the day when he will realize that she’s exactly what he needs. But when he asks Korede for Ayoola’s phone number, she must reckon with what her sister has become and how far she’s willing to go to protect her.

Probability and Statistics for Engineering and the Sciences

Probability and Statistics for Engineering and the Sciences PDF Author: Jay Devore
Publisher: Cengage Learning
ISBN: 9780495382171
Category : Mathematics
Languages : en
Pages : 768

Book Description
This market-leading text provides a comprehensive introduction to probability and statistics for engineering students in all specialties. This proven, accurate book and its excellent examples evidence Jay Devore’s reputation as an outstanding author and leader in the academic community. Devore emphasizes concepts, models, methodology, and applications as opposed to rigorous mathematical development and derivations. Through the use of lively and realistic examples, students go beyond simply learning about statistics-they actually put the methods to use. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.