Statistics

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780996916035Author M C BentonFormat PaperbackPage Count 540Imprint Lapis LuceraPublisher Lapis LuceraWeight(grams) 916gDimensions(mm) 235mm * 191mm * 28mm

State Profiles: The Population and Economy of Each U.S. State provides a wealth of current, authoritative, and comprehensive data on key demographic and economic indicators for each U.S. state and the District of Columbia. Each state is covered by a...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9789241565707Author World Health OrganizationFormat PaperbackPage Count 128Imprint World Health OrganizationPublisher World Health OrganizationWeight(grams)...

Business Statistics of the United States is a comprehensive and practical collection of data relevant to the nation's economic performance since World War II. The 17th Edition provides over 80 years of annual data in regional, demographic, and industrial...

This book shows the capabilities of Microsoft Excel in teaching business statistics effectively. Similar to the previously published Excel 2010 for Business Statistics, this book is a step-by-step exercise-driven guide for students and practitioners who...

Business Statistics of the United States is a comprehensive and practical collection of data from as early as 1913 that reflects the nation's economic performance. It provides over 80 years of annual, quarterly, and monthly data in industrial and...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780991478965Author Shizuka Hyogo ChienFormat PaperbackPage Count 204Imprint Babel Press U.S.A.Publisher Babel Press U.S.A.Weight(grams) 152g

This first course in statistics is designed for undergraduate students. There are dozens of statistics textbooks in the market. But most of these textbooks are either pitched at a level that is too high or too low for most undergraduate students. Many...

Determining risk-adequate insurance premiums is a core issue in actuarial mathematics. This study is specifically concerned with identifying convenient partitions of (general) insurance collectives such that the resulting tariff classes are homogeneous...

In recent years portfolio optimization and construction methodologies have become an increasingly critical ingredient of asset and fund management, while at the same time portfolio risk assessment has become an essential ingredient in risk management...

TRANSPORTATION: A SUPPLY CHAIN PERSPECTIVE, 8E equips you with a solid understanding of what is arguably the most critical-and complex-component of global supply chains. It explains the fundamental role and importance of transportation in companies and...

SPREADSHEET MODELING AND DECISION ANALYSIS, Seventh Edition, provides instruction in the most commonly used management science techniques and shows how these tools can be implemented using Microsoft Office Excel 2013.About the AuthorA leading innovator...

This new publication replaces the WTO's annual flagship publication, International Trade Statistics. World Trade Statistical Review 2016 provides a detailed analysis of the latest developments in world trade, focusing on the most recent trends in goods...

The subject of this book is the reasoning under uncertainty based on sta tistical evidence, where the word reasoning is taken to mean searching for arguments in favor or against particular hypotheses of interest. The kind of reasoning we are using is...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780077451288Author Aleks CorporationImprint McGraw-Hill EducationPublisher McGraw-Hill EducationWeight(grams) 45g

Modern Analysis of Customer Surveys: with applications using R Customer survey studies deal with customer, consumer and user satisfaction from a product or service. In practice, many of the customer surveys conducted by business and industry are analyzed...

Essential statistics practice problems with fully-worked solutions Student Workbook to Accompany Introductory Statistics for Business and Economics offers students an invaluable resource for clarifying complex statistical concepts and calculations...

Advanced Data Science and Analytics with Python enables data scientists to continue developing their skills and apply them in business as well as academic settings. The subjects discussed in this book are complementary and a follow up from the topics...

Ryall and Bramson's Inference and Intervention is the first textbook on causal modeling with Bayesian networks for business applications. In a world of resource scarcity, a decision about which business elements to control or change - as the authors put...

Categorical data are quantified as either nominal variables--distinguishing different groups, for example, based on socio-economic status, education, and political persuasion--or ordinal variables--distinguishing levels of interest, such as the preferred...

Social networking has increased drastically in recent years, resulting in an increased amount of data being created daily. Furthermore, diversity of issues and complexity of the social networks pose a challenge in social network mining. Traditional...

A graphical model is a statistical model that is represented by a graph. The factorization properties underlying graphical models facilitate tractable computation with multivariate distributions, making the models a valuable tool with a plethora of...

An Introduction to IoT Analytics covers techniques that can be used to analyze data from IoT sensors and also addresses questions regarding the performance of an IoT system. It strikes a balance between practice and theory so that one can learn how to...

Little known to many, R works just as well with JavaScript-this book delves into the various ways both languages can work together. The ultimate aim of this work is to put the reader at ease with inviting JavaScript in their data science workflow. In...

Temporal data mining deals with the harvesting of useful information from temporal data. New initiatives in health care and business organizations have increased the importance of temporal information in data today. From basic data mining concepts...

Distribution-free resampling methods-permutation tests, decision trees, and the bootstrap-are used today in virtually every research area. A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling explains how to use the bootstrap...

Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream. Unsupervised data analysis, including cluster analysis, factor analysis, and low dimensionality mapping methods...

Often considered more of an art than a science, books on clustering have been dominated by learning through example with techniques chosen almost through trial and error. Even the two most popular, and most related, clustering methods-K-Means for...

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare covers exciting developments at the intersection of computer science and statistics. While much of machine-learning is statistics-based, achievements in deep learning for...

R for College Mathematics and Statistics encourages the use of R in mathematics and statistics courses. Instructors are no longer limited to ``nice'' functions in calculus classes. They can require reports and homework with graphs. They can do...

Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic,...

This is the first book that comprehensively analyses co-patenting in Japan and the U.S., which directly signifies collaborations between firms and inventors, using the methodology of network science. Network science approaches enable us to analyse the...

Financial and insurance calculations become more and more frequent and helpful for many users not only in their profession life but sometimes even in their personal life. Therefore a survey of formulas of ?nancial and insurance mathematics that can be...

State Profiles 2019: The Population and Economy of Each U.S. State has been completely updated and provides a wealth of current, authoritative, and comprehensive data on key demographic and economic indicators for each U.S. state and the District of...

Lucidly Integrates Current Activities Focusing on both fundamentals and recent advances, Introduction to Machine Learning and Bioinformatics presents an informative and accessible account of the ways in which these two increasingly intertwined areas...

Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering 400 zettabytes (ZB) of data a year. Self-driving cars are predicted to churn out 4000 GB of data per hour of...

This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks. The book consists of four parts, covering a wide range of topics. The first part of the book focuses on data...

Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms. Exploring how to extract knowledge...

Drawing on the authors' two decades of experience in applied modeling and data mining, Foundations of Predictive Analytics presents the fundamental background required for analyzing data and building models for many practical applications, such as...

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...