The Basic Practice Of Statistics Pack
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The Basic Practice Of Statistics Pack
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Author : David S. Moore
language : en
Publisher: WH Freeman
Release Date :
The Basic Practice Of Statistics Pack written by David S. Moore and has been published by WH Freeman this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.
A defining text in statistics education, The Basic Practice of Statistics puts data analysis at the forefront and begins to develop students’ reasoning and judgment about statistical studies. This is the pack for The Basic Practice of Statistics, it includes the textbook and the SaplingPlus 12 month access card.
The Basic Practice Of Statistics
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Author : David S. Moore
language : en
Publisher: Palgrave Macmillan
Release Date : 2010
The Basic Practice Of Statistics written by David S. Moore and has been published by Palgrave Macmillan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Mathematics categories.
This is a clear and innovative overview of statistics which emphasises major ideas, essential skills and real-life data. The organisation and design has been improved for the fifth edition, coverage of engaging, real-world topics has been increased and content has been updated to appeal to today's trends and research.
The Basic Practice Of Statistics
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Author : David S. Moore
language : en
Publisher:
Release Date : 2021
The Basic Practice Of Statistics written by David S. Moore and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Using The R Commander
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Author : John Fox
language : en
Publisher: CRC Press
Release Date : 2016-09-15
Using The R Commander written by John Fox and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-15 with Mathematics categories.
This book provides a general introduction to the R Commander graphical user interface (GUI) to R for readers who are unfamiliar with R. It is suitable for use as a supplementary text in a basic or intermediate-level statistics course. It is not intended to replace a basic or other statistics text but rather to complement it, although it does promote sound statistical practice in the examples. The book should also be useful to individual casual or occasional users of R for whom the standard command-line interface is an obstacle.
Practical Booklet Of Linux 1
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Author : Baldomero Sánchez Pérez
language : en
Publisher: Lulu.com
Release Date : 2018-02-24
Practical Booklet Of Linux 1 written by Baldomero Sánchez Pérez and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-24 with Technology & Engineering categories.
This book is a compendium of the realization of practices in the module of Operating Systems Single-user. It is focused on the basic realization of knowledge practices on content and the acquisition of skills, to be able to join a job, based on the professional family. Different operating systems are discussed in Linux: Fedora, Slackware, Debian, Ubuntu, Lubuntu, some variant and Android. Commands that are used: fdisk, gdisk, mount, umount, fsck, bklib, tune2fs, uuidgen, edquota, quota, quotacheck, quotaon, quotaoff, repquota, warnquota, touch, nano, pico, echo, umask, cat, less, more, rm, mv, chmod, chown, less, pg, wc, head, tail, cut, locate, ls, slocate, whereis, whatis, find, grep, ln, egrep, mount, umount, lsusb, eject, fuser, sort, comm, diff, gzip, gunzip, zcat, zmore, zcmp, zdiff, symlink, cal, ncal, tar, calendar, date, uptime, lwclock, watch, set, env, alias, unalias, uniq, sum, lsof, paste, lshal, biosdecode, lsattr, chattr, dmidecode.
Time Series Analysis Methods And Applications
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Author : Tata Subba Rao
language : en
Publisher: Elsevier
Release Date : 2012-06-26
Time Series Analysis Methods And Applications written by Tata Subba Rao and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-26 with Mathematics categories.
'Handbook of Statistics' is a series of self-contained reference books. Each volume is devoted to a particular topic in statistics, with volume 30 dealing with time series.
R For Cloud Computing
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Author : A Ohri
language : en
Publisher: Springer
Release Date : 2014-11-14
R For Cloud Computing written by A Ohri and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-14 with Computers categories.
R for Cloud Computing looks at some of the tasks performed by business analysts on the desktop (PC era) and helps the user navigate the wealth of information in R and its 4000 packages as well as transition the same analytics using the cloud. With this information the reader can select both cloud vendors and the sometimes confusing cloud ecosystem as well as the R packages that can help process the analytical tasks with minimum effort, cost and maximum usefulness and customization. The use of Graphical User Interfaces (GUI) and Step by Step screenshot tutorials is emphasized in this book to lessen the famous learning curve in learning R and some of the needless confusion created in cloud computing that hinders its widespread adoption. This will help you kick-start analytics on the cloud including chapters on both cloud computing, R, common tasks performed in analytics including the current focus and scrutiny of Big Data Analytics, setting up and navigating cloud providers. Readers are exposed to a breadth of cloud computing choices and analytics topics without being buried in needless depth. The included references and links allow the reader to pursue business analytics on the cloud easily. It is aimed at practical analytics and is easy to transition from existing analytical set up to the cloud on an open source system based primarily on R. This book is aimed at industry practitioners with basic programming skills and students who want to enter analytics as a profession. Note the scope of the book is neither statistical theory nor graduate level research for statistics, but rather it is for business analytics practitioners. It will also help researchers and academics but at a practical rather than conceptual level. The R statistical software is the fastest growing analytics platform in the world, and is established in both academia and corporations for robustness, reliability and accuracy. The cloud computing paradigm is firmly established as the next generation of computing from microprocessors to desktop PCs to cloud.
E Stat Pack To Accompany The Basic Practice Of Statistics 3e
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Author :
language : en
Publisher:
Release Date : 2005
E Stat Pack To Accompany The Basic Practice Of Statistics 3e written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Statistics categories.
Spatial Regression Models For The Social Sciences
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Author : Guangqing Chi
language : en
Publisher: SAGE Publications
Release Date : 2019-03-06
Spatial Regression Models For The Social Sciences written by Guangqing Chi and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-06 with Social Science categories.
Space and geography are important aspects of social science research in fields such as criminology, sociology, political science, and public health. Many social scientists are interested in the spatial clustering of various behaviors and events. There has been a rapid development of interest in regression methods for analyzing spatial data over recent years, but little available on the topic that is aimed at graduate students and advanced undergraduate classes in the social sciences (most texts are for the natural sciences, or regional science, or economics, and require a good understanding of advanced statistics and probability theory). Spatial Regression Models for the Social Sciences fills the gap, and focuses on the methods that are commonly used by social scientists. Each spatial regression method is introduced in the same way. Guangqing Chi and Jun Zhu explain what each method is and when and how to apply it, by connecting it to social science research topics. They try to avoid mathematical formulas and symbols as much as possible. Secondly, throughout the book they use the same social science example to demonstrate applications of each method and what the results can tell us. Spatial Regression Models for the Social Sciences provides comprehensive coverage of spatial regression methods for social scientists and introduces the methods in an easy-to-follow manner.
Numerical Issues In Statistical Computing For The Social Scientist
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Author : Micah Altman
language : en
Publisher: John Wiley & Sons
Release Date : 2004-02-15
Numerical Issues In Statistical Computing For The Social Scientist written by Micah Altman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-02-15 with Mathematics categories.
At last—a social scientist's guide through the pitfalls of modern statistical computing Addressing the current deficiency in the literature on statistical methods as they apply to the social and behavioral sciences, Numerical Issues in Statistical Computing for the Social Scientist seeks to provide readers with a unique practical guidebook to the numerical methods underlying computerized statistical calculations specific to these fields. The authors demonstrate that knowledge of these numerical methods and how they are used in statistical packages is essential for making accurate inferences. With the aid of key contributors from both the social and behavioral sciences, the authors have assembled a rich set of interrelated chapters designed to guide empirical social scientists through the potential minefield of modern statistical computing. Uniquely accessible and abounding in modern-day tools, tricks, and advice, the text successfully bridges the gap between the current level of social science methodology and the more sophisticated technical coverage usually associated with the statistical field. Highlights include: A focus on problems occurring in maximum likelihood estimation Integrated examples of statistical computing (using software packages such as the SAS, Gauss, Splus, R, Stata, LIMDEP, SPSS, WinBUGS, and MATLAB®) A guide to choosing accurate statistical packages Discussions of a multitude of computationally intensive statistical approaches such as ecological inference, Markov chain Monte Carlo, and spatial regression analysis Emphasis on specific numerical problems, statistical procedures, and their applications in the field Replications and re-analysis of published social science research, using innovative numerical methods Key numerical estimation issues along with the means of avoiding common pitfalls A related Web site includes test data for use in demonstrating numerical problems, code for applying the original methods described in the book, and an online bibliography of Web resources for the statistical computation Designed as an independent research tool, a professional reference, or a classroom supplement, the book presents a well-thought-out treatment of a complex and multifaceted field.