Stat 2

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STAT2

Author : Ann R. Cannon
Publisher : Macmillan Higher Education
ISBN 13 : 1319067506
Total Pages : 700 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis STAT2 by : Ann R. Cannon

Download or read book STAT2 written by Ann R. Cannon and published by Macmillan Higher Education. This book was released on 2018-11-05 with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt: STAT2 introduces students to statistical modeling beyond what they have learned in a Stat 101 college course or an AP Statistics course. Building on basic concepts and methods learned in that course, STAT2 empowers students to analyze richer datasets that include more variables and address a broader range of research questions. Other than a working understanding of exponential and logarithmic functions, there are no prerequisites beyond successful completion of their first statistics course. To help all students make a smooth transition to this course, Chapter 0 reminds students of basic statistical terminology and also uses the familiar two-sample t-test as a way to illustrate the approach of specifying, estimating, and testing a statistical model. Using STAT2, students will: Go beyond their Stat 101 experience by learning to develop and apply models with both quantitative and categorical response variables, and with multiple explanatory variables. STAT2 Chapters are grouped into units that consider models based on the type of response and type of predictors. Discover that the practice of statistical modeling involves applying an interactive process. STAT2 employs a four-step process in all statistical modeling: Choose a form for the model, fit the model to the data, assess how well the model describes the data, and use the model to address the question of interest. Learn how to apply their developing judgment about statistical modeling. STAT2 introduces the idea of constructing statistical models at the very beginning, in a setting that students encountered in their Stat 101 course. This modeling focus continues throughout the course as students encounter new and increasingly more complicated scenarios. Analyze and draw conclusions from real data, which is crucial for preparing students to use statistical modeling in their professional lives. STAT2 incorporates real and rich data throughout the text. Using real data to address genuine research questions helps motivate students to study statistics. The richness stems not only from interesting contexts in a variety of disciplines, but also from the multivariable nature of most datasets.

STAT 2

Author : Ann R. Cannon
Publisher : Macmillan Higher Education
ISBN 13 : 1464148244
Total Pages : 639 pages
Book Rating : 4.4/5 (641 download)

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Book Synopsis STAT 2 by : Ann R. Cannon

Download or read book STAT 2 written by Ann R. Cannon and published by Macmillan Higher Education. This book was released on 2012-12-14 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: STAT2 offers students who have taken AP Statistics or a typical introductory statistics college level course to learn more sophisticated concepts and the tools with which to apply them.

An Introduction to Statistical Learning

Author : Gareth James
Publisher : Springer Nature
ISBN 13 : 3031387473
Total Pages : 617 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis An Introduction to Statistical Learning by : Gareth James

Download or read book An Introduction to Statistical Learning written by Gareth James and published by Springer Nature. This book was released on 2023-08-01 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.

Online Statistics Education

Author : David M Lane
Publisher :
ISBN 13 : 9781687894250
Total Pages : 406 pages
Book Rating : 4.8/5 (942 download)

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Book Synopsis Online Statistics Education by : David M Lane

Download or read book Online Statistics Education written by David M Lane and published by . This book was released on 2014-12-02 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Home Court (STAT: Standing Tall and Talented #1)

Author : Amar'e Stoudemire
Publisher : Scholastic Inc.
ISBN 13 : 0545473993
Total Pages : 107 pages
Book Rating : 4.5/5 (454 download)

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Book Synopsis Home Court (STAT: Standing Tall and Talented #1) by : Amar'e Stoudemire

Download or read book Home Court (STAT: Standing Tall and Talented #1) written by Amar'e Stoudemire and published by Scholastic Inc.. This book was released on 2012-08-01 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: STAT: Standing Tall And Talented-- A slam-dunk new fiction series from NBA superstar Amar'e Stoudemire! Eleven-year-old Amar'e Stoudemire has a lot going on. He loves to go skateboarding in the park. He takes his school work very seriously. He helps out with his dad's landscaping company. And he likes to play basketball with his best friends-but just for fun. When a group of older kids start disrespecting his boys on their neighborhood basketball court, there is only one solution. Amar'e must step in and use his athletic ability and intelligence to save the day. This experience leads Amar'e to realize that basketball is his true passion.Based on the life of All-Star NBA sensation Amar'e Stoudemire, who overcame many obstacles to become one of the most popular figures in sports today. Amar'e is just as versatile in his off the court life as he is on. He is devoted to several charities. He promotes literacy and education. He is a media darling. And he has an amazing story to tell in this heartfelt, accessible middle-grade series.

The Elements of Statistical Learning

Author : Trevor Hastie
Publisher : Springer Science & Business Media
ISBN 13 : 0387216065
Total Pages : 545 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis The Elements of Statistical Learning by : Trevor Hastie

Download or read book The Elements of Statistical Learning written by Trevor Hastie and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.

OpenIntro Statistics

Author : David Diez
Publisher :
ISBN 13 : 9781943450046
Total Pages : pages
Book Rating : 4.4/5 (5 download)

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Book Synopsis OpenIntro Statistics by : David Diez

Download or read book OpenIntro Statistics written by David Diez and published by . This book was released on 2015-07-02 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources.

Double Team

Author : Amar'e Stoudemire
Publisher : Turtleback Books
ISBN 13 : 9780606267625
Total Pages : 0 pages
Book Rating : 4.2/5 (676 download)

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Book Synopsis Double Team by : Amar'e Stoudemire

Download or read book Double Team written by Amar'e Stoudemire and published by Turtleback Books. This book was released on 2012-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Eleven-year old Amar'e starts competing in tournaments with his best friends, Deuce and Mike, and they are winning. After a few big wins, Amar'e starts getting attention from some of the more elite players in Lake Wales. He wants to elevate his game

LISP-STAT

Author : Luke Tierney
Publisher : John Wiley & Sons
ISBN 13 : 0470317566
Total Pages : 418 pages
Book Rating : 4.4/5 (73 download)

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Book Synopsis LISP-STAT by : Luke Tierney

Download or read book LISP-STAT written by Luke Tierney and published by John Wiley & Sons. This book was released on 2009-09-25 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written for the professional statistician or graduate statistics student, the primary objective of this book is to describe a system, based on the LISP language, for statistical computing and dynamic graphics to show how it can be used as an effective platform for a wide range of statistical computing tasks ranging from basic calculations to customizing dynamic graphs. In addition, it introduces object-oriented programming and graphics programming in a statistical context. The discussion of these ideas is based on the Lisp-Stat system; readers with access to such a system can reproduce the examples presented and use them as a basis for further experimentation and study.

Modern Applied Statistics with S-PLUS

Author : William N. Venables
Publisher : Springer Science & Business Media
ISBN 13 : 1475727194
Total Pages : 562 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Modern Applied Statistics with S-PLUS by : William N. Venables

Download or read book Modern Applied Statistics with S-PLUS written by William N. Venables and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to using the power of S-PLUS to perform statistical analyses, providing both an introduction to the program and a course in modern statistical methods. Readers are assumed to have a basic grounding in statistics, thus the book is intended for would-be users, as well as students and researchers using statistics. Throughout, the emphasis is on presenting practical problems and full analyses of real data sets, with many of the methods discussed being modern approaches to topics such as linear and non-linear regression models, robust and smooth regression methods, survival analysis, multivariate analysis, tree-based methods, time series, spatial statistics, and classification. This second edition is intended for users of S-PLUS 3.3, or later, and covers both Windows and UNIX. It treats the recent developments in graphics and new statistical functionality, including bootstraping, mixed effects linear and non-linear models, factor analysis, and regression with autocorrelated errors. The authors have written several software libraries which enhance S-PLUS, and these, plus all the datasets used, are available on the Internet.

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Author : Chester Ismay
Publisher : CRC Press
ISBN 13 : 1000763463
Total Pages : 461 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Statistical Inference via Data Science: A ModernDive into R and the Tidyverse by : Chester Ismay

Download or read book Statistical Inference via Data Science: A ModernDive into R and the Tidyverse written by Chester Ismay and published by CRC Press. This book was released on 2019-12-23 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science tools to perform effective exploratory data analyses, the book covers traditional introductory statistics topics like confidence intervals, hypothesis testing, and multiple regression modeling, while focusing on visualization throughout. Features: ● Assumes minimal prerequisites, notably, no prior calculus nor coding experience ● Motivates theory using real-world data, including all domestic flights leaving New York City in 2013, the Gapminder project, and the data journalism website, FiveThirtyEight.com ● Centers on simulation-based approaches to statistical inference rather than mathematical formulas ● Uses the infer package for "tidy" and transparent statistical inference to construct confidence intervals and conduct hypothesis tests via the bootstrap and permutation methods ● Provides all code and output embedded directly in the text; also available in the online version at moderndive.com This book is intended for individuals who would like to simultaneously start developing their data science toolbox and start learning about the inferential and modeling tools used in much of modern-day research. The book can be used in methods and data science courses and first courses in statistics, at both the undergraduate and graduate levels.

Stat

Author : Robert R. Johnson
Publisher : Brooks/Cole
ISBN 13 : 9780538735032
Total Pages : 0 pages
Book Rating : 4.7/5 (35 download)

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Book Synopsis Stat by : Robert R. Johnson

Download or read book Stat written by Robert R. Johnson and published by Brooks/Cole. This book was released on 2009-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise, affordable, but thorough and effective text, STAT provides exactly what you need to learn general introductory stats via an engaging text and full suite of digital learning aids, including interactive video and audio reviews.

Select Cases in the Court of Requests

Author : Selden Society
Publisher : Palala Press
ISBN 13 :
Total Pages : 392 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Select Cases in the Court of Requests by : Selden Society

Download or read book Select Cases in the Court of Requests written by Selden Society and published by Palala Press. This book was released on 1898 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Caribbean Bananas

Author : Cleary Haines
Publisher : International Monetary Fund
ISBN 13 : 1451963793
Total Pages : 44 pages
Book Rating : 4.4/5 (519 download)

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Book Synopsis Caribbean Bananas by : Cleary Haines

Download or read book Caribbean Bananas written by Cleary Haines and published by International Monetary Fund. This book was released on 2010-03-01 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper examines the macroeconomic effects of the erosion of trade preferences, with a focus on the export of Caribbean bananas to Europe. Estimates are made of the magnitude of implicit assistance provided over a period of three decades to eastern Caribbean countries through banana trade preferences. The value of such assistance rose until the early 1990s, and has declined precipitously since then. Using vector autoregressive analysis, the paper finds that changes in the level of implicit assistance have had a considerable macroeconomic impact, especially on Caribbean real GDP growth.

Think Stats

Author : Allen B. Downey
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491907363
Total Pages : 284 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Think Stats by : Allen B. Downey

Download or read book Think Stats written by Allen B. Downey and published by "O'Reilly Media, Inc.". This book was released on 2014-10-16 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. By working with a single case study throughout this thoroughly revised book, you’ll learn the entire process of exploratory data analysis—from collecting data and generating statistics to identifying patterns and testing hypotheses. You’ll explore distributions, rules of probability, visualization, and many other tools and concepts. New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries. Develop an understanding of probability and statistics by writing and testing code Run experiments to test statistical behavior, such as generating samples from several distributions Use simulations to understand concepts that are hard to grasp mathematically Import data from most sources with Python, rather than rely on data that’s cleaned and formatted for statistics tools Use statistical inference to answer questions about real-world data

JAK-STAT Signaling in Diseases

Author : Ritobrata Goswami
Publisher : CRC Press
ISBN 13 : 1351042440
Total Pages : 339 pages
Book Rating : 4.3/5 (51 download)

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Book Synopsis JAK-STAT Signaling in Diseases by : Ritobrata Goswami

Download or read book JAK-STAT Signaling in Diseases written by Ritobrata Goswami and published by CRC Press. This book was released on 2020-02-28 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: JAK-STAT pathway is one of the few signal transduction pathways that transduce signals involved in multiple homeostatic biological processes including cell differentiation and proliferation, cell death, hematopoiesis and immune responses. JAK-STAT is an elegant pathway that is relatively simple and evolutionary conserved as gene expression is regulated by external parameters. Activated by growth factors or cytokines, this signal transduction cascade regulates the transcription of genes at the nucleus. Mutations and polymorphisms in JAK-STAT pathway are associated with inflammatory diseases and cancers that could impede regular homeostasis. Features: Details activation and microRNA-mediated regulation of JAK-STAT pathway Provides exclusive information about the association of the pathway in various diseases including allergic inflammation, neuro-inflammatory disorder, atopic dermatitis hematopoietic malignancies, cardiovascular disorder, renal disorder, immunodeficiency, liver fibrosis, diabetes and obesity that affect individuals across the globe Clinical relevance of the signaling cascade has been discussed in context of novel class of therapeutics that targets this pathway. An overview of JAK-STAT signaling pathway and the structure-function relationship of different domains of the cascade are discussed. This book provides detailed information on various diseases that are associated with JAK-STAT pathway. It will act as a very good reference book for basic science researchers, academicians, industry professionals involved in translational research leading to product development. This book will excite future professionals towards better understanding of the regulation of this pathway, its association with other signaling cascades to design novel therapeutics.

Think Stats

Author : Allen B. Downey
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449313108
Total Pages : 137 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Think Stats by : Allen B. Downey

Download or read book Think Stats written by Allen B. Downey and published by "O'Reilly Media, Inc.". This book was released on 2011-07-01 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts. Develop your understanding of probability and statistics by writing and testing code Run experiments to test statistical behavior, such as generating samples from several distributions Use simulations to understand concepts that are hard to grasp mathematically Learn topics not usually covered in an introductory course, such as Bayesian estimation Import data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics tools Use statistical inference to answer questions about real-world data