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Statistics - 560 - Page 3 - Blowout Sale! Save up to 89%


Blowout Sale! Up to 89% off on Statistics at Translate This Website, Page 3. Top brands include SAGE Publications, Inc, Apress, Springer, Chapman and Hall/CRC, Que Publishing, Brand: The Guilford Press, Cambridge University Press, & The Guilford Press. Hurry! Limited time offers. Offers valid only while supplies last.



An Introduction to Data Science
By SAGE Publications, Inc
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$54.00
$48.60
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ean: 9781506377537, isbn: 9781506377537,

4.8 out of 5 stars with 183 reviews
An Introduction to Data Science by Jeffrey S. Saltz and Jeffrey M. Stanton is an easy-to-read, gentle introduction for people with a wide range of backgrounds into the world of data science. Needing no prior coding experience or a deep understanding of statistics, this book uses the R programming language and RStudio® platform to make data science welcoming and accessible for all learners. After introducing the basics of data science, the book builds on each previous concept to explain R


MATLAB Differential and Integral Calculus
By Apress
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$49.99
$48.75
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ean: 9781484203057, isbn: 1484203054,

4.6 out of 5 stars with 192 reviews
MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. MATLAB Differential and Integral Calculus introduces you to the MATLAB language with practical


Marginal Models: For Dependent, Clustered, and Longitudinal Categorical Data (Statistics for Social and Behavioral Sciences)
By Springer
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$139.99
$16.01
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mpn: 24501330, ean: 9780387096094, isbn: 9780387096094,

4.4 out of 5 stars with 160 reviews
Marginal Models for Dependent, Clustered, and Longitudinal Categorical Data provides a comprehensive overview of the basic principles of marginal modeling and offers a wide range of possible applications. Marginal models are often the best choice for answering important research questions when dependent observations are involved, as the many real world examples in this book show. In the social, behavioral, educational, economic, and biomedical sciences, data are often collected in ways that


R for Business Analytics
By Springer
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$84.99
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ean: 9781461443421, isbn: 1461443423,

4.5 out of 5 stars with 183 reviews
R for Business Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages.  With this information the reader can select the packages that can help process the analytical tasks with minimum effort and maximum usefulness. The use of Graphical User Interfaces (GUI) is emphasized in this book to further cut down and bend the famous learning curve in learning R. This book is aimed to help you


Data Classification: Algorithms and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
By Chapman and Hall/CRC
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$96.95
$90.88
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mpn: 84 black & white illustrations, 34 black, ean: 9781466586741, isbn: 1466586745,

4.8 out of 5 stars with 173 reviews
Comprehensive Coverage of the Entire Area of ClassificationResearch on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning. Addressing the work of these different communities in a unified way, Data Classification: Algorithms and Applications explores the underlying algorithms of classification as well as applications of classification in a variety of problem domains, including text, multimedia, social


Practical Graph Mining with R (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
By Chapman and Hall/CRC
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ean: 9781439860847, isbn: 143986084X,

4.1 out of 5 stars with 77 reviews
Discover Novel and Insightful Knowledge from Data Represented as a GraphPractical Graph Mining with R presents a ''do-it-yourself'' approach to extracting interesting patterns from graph data. It covers many basic and advanced techniques for the identification of anomalous or frequently recurring patterns in a graph, the discovery of groups or clusters of nodes that share common patterns of attributes and relationships, the extraction of patterns that distinguish one category of graphs from


Advanced R: Data Programming and the Cloud
By Apress
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mpn: 45163753, ean: 9781484220764, isbn: 1484220765,

4.8 out of 5 stars with 219 reviews
Program for data analysis using R and learn practical skills to make your work more efficient. This book covers how to automate running code and the creation of reports to share your results, as well as writing functions and packages. Advanced R is not designed to teach advanced R programming nor to teach the theory behind statistical procedures. Rather, it is designed to be a practical guide moving beyond merely using R to programming in R to automate tasks.This book will show you how to


Utility-Based Learning from Data (Chapman & Hall/CRC: Machine Learning & Pattern Recognition)
By Chapman and Hall/CRC
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ean: 9781584886228, isbn: 1584886226,

4.7 out of 5 stars with 16 reviews
Utility-Based Learning from Data provides a pedagogical, self-contained discussion of probability estimation methods via a coherent approach from the viewpoint of a decision maker who acts in an uncertain environment. This approach is motivated by the idea that probabilistic models are usually not learned for their own sake; rather, they are used to make decisions. Specifically, the authors adopt the point of view of a decision maker who (i) operates in an uncertain environment where the


Data Mining with R: Learning with Case Studies (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
By Chapman and Hall/CRC
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$93.95
$65.71
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ean: 9781439810187, isbn: 1439810184,

4.1 out of 5 stars with 128 reviews
The versatile capabilities and large set of add-on packages make R an excellent alternative to many existing and often expensive data mining tools. Exploring this area from the perspective of a practitioner, Data Mining with R: Learning with Case Studies uses practical examples to illustrate the power of R and data mining. Assuming no prior knowledge of R or data mining/statistical techniques, the book covers a diverse set of problems that pose different challenges in terms of size, type of


Sufficient Dimension Reduction: Methods and Applications with R (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
By Chapman and Hall/CRC
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$99.95
$87.09
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ean: 9781498704472, isbn: 1498704476,

4.9 out of 5 stars with 252 reviews
Sufficient dimension reduction is a rapidly developing research field that has wide applications in regression diagnostics, data visualization, machine learning, genomics, image processing, pattern recognition, and medicine, because they are fields that produce large datasets with a large number of variables. Sufficient Dimension Reduction: Methods and Applications with R introduces the basic theories and the main methodologies, provides practical and easy-to-use algorithms and computer codes


R Recipes: A Problem-Solution Approach
By Apress
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$39.99
$34.52
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mpn: 60 black & white illustrations, biograph, ean: 9781484201312, isbn: 1484201310,

4.5 out of 5 stars with 56 reviews
R Recipes is your handy problem-solution reference for learning and using the popular R programming language for statistics and other numerical analysis. Packed with hundreds of code and visual recipes, this book helps you to quickly learn the fundamentals and explore the frontiers of programming, analyzing and using R. R Recipes provides textual and visual recipes for easy and productive templates for use and re-use in your day-to-day R programming and data analysis practice. Whether you're in


R for Microsoft® Excel Users: Making the Transition for Statistical Analysis
By Que Publishing
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$39.99
$21.11
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mpn: 9780789757852, ean: 9780789757852, isbn: 0789757850,

4.3 out of 5 stars with 152 reviews
 Microsoft Excel can perform many statistical analyses, but thousands of business users and analysts are now reaching its limits. R, in contrast, can perform virtually any imaginable analysis—if you can get over its learning curve. In R for Microsoft® Excel Users, Conrad Carlberg shows exactly how to get the most from both programs.   Drawing on his immense experience helping organizations apply statistical methods, Carlberg reviews how to perform key tasks in Excel, and then guides you


Assessing Performance: Designing, Scoring, and Validating Performance Tasks
By Brand: The Guilford Press
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$50.00
$41.54
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mpn: 9781593859886, ean: 9781593859886, isbn: 1593859880,

4.9 out of 5 stars with 78 reviews
A comprehensive resource for assessment practitioners, this book provides step-by-step guidance for developing, administering, scoring, and validating a range of performance tasks, including literacy and other types of proficiency assessments. The authors explore how to establish the purpose of the assessment and how to develop scoring tools, train raters, reduce rater bias, review scores and report results, and use item-level and test-level analyses to optimize reliability and validity.


Data Clustering in C++: An Object-Oriented Approach (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
By Chapman and Hall/CRC
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$105.00
$95.80
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ean: 9781439862230, isbn: 1439862230,

4.2 out of 5 stars with 171 reviews
Data clustering is a highly interdisciplinary field, the goal of which is to divide a set of objects into homogeneous groups such that objects in the same group are similar and objects in different groups are quite distinct. Thousands of theoretical papers and a number of books on data clustering have been published over the past 50 years. However, few books exist to teach people how to implement data clustering algorithms. This book was written for anyone who wants to implement or improve


Numerical Methods in Finance with C++ (Mastering Mathematical Finance)
By Cambridge University Press
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$39.99
$32.59
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ean: 9780521177160, isbn: 0521177162,

4.3 out of 5 stars with 151 reviews
Driven by concrete computational problems in quantitative finance, this book provides aspiring quant developers with the numerical techniques and programming skills they need. The authors start from scratch, so the reader does not need any previous experience of C++. Beginning with straightforward option pricing on binomial trees, the book gradually progresses towards more advanced topics, including nonlinear solvers, Monte Carlo techniques for path-dependent derivative securities, finite


Basic Elements of Computational Statistics (Statistics and Computing)
By Springer
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$89.99
$29.93
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ean: 9783319553351, isbn: 3319553356,

4.2 out of 5 stars with 155 reviews
This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistical software R. It covers mathematical, statistical as well as programming problems in computational statistics and contains a wide variety of practical examples. In addition to the numerous R sniplets presented in the text, all computer programs (quantlets) and data sets to the book are available on


Options and Derivatives Programming in C++: Algorithms and Programming Techniques for the Financial Industry
By Apress
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$44.99
$34.51
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ean: 9781484218136, isbn: 1484218132,

4.2 out of 5 stars with 293 reviews
Learn how C++ is used in the development of solutions for options and derivatives trading in the financial industry. As an important part of the financial industry, options and derivatives trading has become increasingly sophisticated. Advanced trading techniques using financial derivatives have been used at banks, hedge funds, and pension funds. Because of stringent performance characteristics, most of these trading systems are developed using C++ as the main implementation language.Options


The Essentials of Data Science: Knowledge Discovery Using R (Chapman & Hall/CRC The R Series)
By Chapman and Hall/CRC
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$69.95
$64.00
You Save: 9%

ean: 9781138088634, isbn: 1138088633,

4.6 out of 5 stars with 81 reviews
The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open source software. It systematically drives an accessible journey through data analysis and machine learning to discover and share knowledge from data.Building on over thirty years’ experience in teaching and practising data science, the author encourages a programming-by-example approach to ensure students and practitioners attune to the practise of


Reasoning with Data: An Introduction to Traditional and Bayesian Statistics Using R
By The Guilford Press
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$45.00
$40.00
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ean: 9781462530267, isbn: 1462530265,

4.7 out of 5 stars with 246 reviews
Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both classical (frequentist) and Bayesian approaches to inference. Statistical techniques covered side by side from both frequentist and Bayesian approaches include hypothesis testing, replication, analysis of


Data Mining with R: Learning with Case Studies, Second Edition (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
By Chapman and Hall/CRC
In Stock
$88.95
$55.43
You Save: 38%

ean: 9781482234893, isbn: 1482234890,

4.3 out of 5 stars with 213 reviews
Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining. Providing an extensive update to the best-selling first edition, this new edition is divided into two parts. The first part will feature introductory material, including a new chapter that provides an introduction to data mining, to complement the already existing introduction to R. The second part includes case studies, and the new edition strongly revises the R



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