Products related to Homogeneity:
-
Data Analytics in Marketing, Entrepreneurship, and Innovation
Innovation based in data analytics is a contemporary approach to developing empirically supported advances that encourage entrepreneurial activity inspired by novel marketing inferences.Data Analytics in Marketing, Entrepreneurship, and Innovation covers techniques, processes, models, tools, and practices for creating business opportunities through data analytics.It features case studies that provide realistic examples of applications.This multifaceted examination of data analytics looks at: Business analyticsApplying predictive analytics Using discrete choice analysis for decision-making Marketing and customer analyticsDeveloping new productsTechnopreneurshipDisruptive versus incremental innovationThe book gives researchers and practitioners insight into how data analytics is used in the areas of innovation, entrepreneurship, and marketing.Innovation analytics helps identify opportunities to develop new products and services, and improve existing methods of product manufacturing and service delivery.Entrepreneurial analytics facilitates the transformation of innovative ideas into strategy and helps entrepreneurs make critical decisions based on data-driven techniques.Marketing analytics is used in collecting, managing, assessing, and analyzing marketing data to predict trends, investigate customer preferences, and launch campaigns.
Price: 89.99 £ | Shipping*: 0.00 £ -
Data and Analytics Strategy for Business : Unlock Data Assets and Increase Innovation with a Results-Driven Data Strategy
For many organizations data is a by-product, but for the smarter ones it is the heartbeat of their business.Most businesses have a wealth of data buried in their systems which, if used effectively, could increase revenue, reduce costs and risk and improve customer satisfaction and employee experience.Beginning with how to choose projects which reflect your organization's goals and how to make the business case for investing in data, this book then takes the reader through the five 'waves' of organizational data maturity.It takes the reader from getting started on the data journey with some quick wins, to how data can help your business become a leading innovator which systematically outperforms competitors. Data and Analytics Strategy for Business outlines how to build consistent, high-quality sources of data which will create business value and explores how automation, AI and machine learning can improve performance and decision making.Filled with real-world examples and case studies, this book is a stage-by-stage guide to designing and implementing a results-driven data strategy.
Price: 29.99 £ | Shipping*: 0.00 £ -
Big Data Analytics
Big Data Analytics is intended for use as a textbook for third- and fourth-year students of B.E., B.Tech., B.Sc., BCA, MCA, and M.Tech. courses in IT, Software, and Computer Science Engineering.The book has been written to help students who enter the software industry to gain a broad understanding of Big Data and the nuances of handling it to extract useful information.Spread across 21 chapters, it elucidates the concept of Big Data and walks the reader through popular frameworks such as Hadoop, MongoDB, Pig and Hive that are used for processing Big Data.
Price: 43.99 £ | Shipping*: 0.00 £ -
Social Data Analytics
This book is an introduction to social data analytics along with its challenges and opportunities in the age of Big Data and Artificial Intelligence.It focuses primarily on concepts, techniques and methods for organizing, curating, processing, analyzing, and visualizing big social data: from text to image and video analytics.It provides novel techniques in storytelling with social data to facilitate the knowledge and fact discovery.The book covers a large body of knowledge that will help practitioners and researchers in understanding the underlying concepts, problems, methods, tools and techniques involved in modern social data analytics.It also provides real-world applications of social data analytics, including: Sales and Marketing, Influence Maximization, Situational Awareness, customer success and Segmentation, and performance analysis of the industry.It provides a deep knowledge in social data analytics by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions.Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in data science to graduate courses in data analytics.
Price: 150.00 £ | Shipping*: 0.00 £
-
What is the degree of homogeneity?
The degree of homogeneity refers to the level of uniformity or similarity within a group or population. It measures the extent to which the individuals or elements within the group are alike in terms of certain characteristics or attributes. A high degree of homogeneity indicates a high level of similarity, while a low degree of homogeneity indicates a greater diversity or variation within the group. This concept is often used in statistics, sociology, and other fields to analyze and understand the composition and characteristics of a given group.
-
Was the degree of homogeneity calculated correctly?
Yes, the degree of homogeneity was calculated correctly. The formula used to calculate homogeneity takes into account the differences between the observed frequencies and the expected frequencies under the null hypothesis. By comparing these values and calculating the chi-square statistic, we can determine the degree of homogeneity in the data.
-
Was the degree of homogeneity correctly calculated?
Yes, the degree of homogeneity was correctly calculated. The formula used to calculate homogeneity takes into account the number of categories and the distribution of values within those categories, providing an accurate measure of how similar or different the data points are. By applying this formula to the dataset, the degree of homogeneity was determined accurately.
-
How can one check for homogeneity in mathematics?
One can check for homogeneity in mathematics by examining whether a mathematical expression or equation remains unchanged when all its variables are scaled by a common factor. For example, in an equation like ax + by = c, if we multiply both sides of the equation by a constant k, the equation remains unchanged if a and b are both multiplied by k. This property is known as homogeneity. Another way to check for homogeneity is to verify that the dimensions of all terms in an equation are consistent, meaning that they have the same units. If an equation is homogeneous, it means that it is invariant under scaling, which can be a useful property in mathematical analysis and modeling.
Similar search terms for Homogeneity:
-
Business Models : Innovation, Digital Transformation, and Analytics
Since the beginning of time, running a business has involved using logic by which the business operates.This logic is called the business model in management science, which increasingly is focusing on issues surrounding business models.Research trends related to business models include value creation, value chain operationalization, and social and ecological aspects, as well as innovation and digital transformation.Business Models: Innovation, Digital Transformation, and Analytics examines how innovation, digital transformation, and the composition of value affect the existence and development of business models.The book starts by addressing the conceptual development of business models and by discussing the essence of innovation in those models.Chapters in the book investigate how: Business models can analyze digital transformation scenarios Individual business model elements effect selected performance measures as well as how the elements are significant for the enterprise value composition The environment effects the profitability of the high-growth enterprise business models Employer branding business models are perceived by the generation Z workforce To implement responsible business models in the enterprise Cyber risk is captured in business models Decision algorithms are important to business analyticsThis book is a compendium of knowledge about the use of business models in the context of innovative activities, digital transformation, and value composition.It attempts to combine the theory and practice and offers a look at business models currently used in companies, especially high-growth enterprises, in various countries of the world and indicates the prospects for their development.
Price: 44.99 £ | Shipping*: 0.00 £ -
Data Analytics Initiatives : Managing Analytics for Success
The categorisation of analytical projects could help to simplify complexity reasonably and, at the same time, clarify the critical aspects of analytical initiatives.But how can this complex work be categorized? What makes it so complex?Data Analytics Initiatives: Managing Analytics for Success emphasizes that each analytics project is different.At the same time, analytics projects have many common aspects, and these features make them unique compared to other projects.Describing these commonalities helps to develop a conceptual understanding of analytical work.However, features specific to each initiative affects the entire analytics project lifecycle.Neglecting them by trying to use general approaches without tailoring them to each project can lead to failure. In addition to examining typical characteristics of the analytics project and how to categorise them, the book looks at specific types of projects, provides a high-level assessment of their characteristics from a risk perspective, and comments on the most common problems or challenges.The book also presents examples of questions that could be asked of relevant people to analyse an analytics project.These questions help to position properly the project and to find commonalities and general project challenges.
Price: 44.99 £ | Shipping*: 0.00 £ -
Innovation in Information Technology
Price: 110.00 £ | Shipping*: 0.00 £ -
Technology and Innovation Management
Technology and Innovation Management is one of the most sought-after courses offered like MBA or PGDM in Business Schools and various Technology Institutes, today.This book, written with deep ingrained practical insights and well-researched theoretical foundations integrates people, processes and technology to achieve maximum economic benefits to society.The book is designed to be a compendium for students and managers, who wish to understand technology and innovation management to the core.The book explains the relationship between technology innovation and strategy in a simplified manner.Keeping Indian education framework in mind, this book details on practices and principles that are easy to implement.The theories are simple to grasp, and anecdotal stories on Technology and Innovation implementations make it a student-friendly edition, to help achieve success in exams as well as in the professional front.It further explains the core principles of Technology and Innovation Management.S-Curve and the Segment Zero Principle, adopting industry 4.0 and innovation 4.0 to make India a smart and intelligent manufacturing hub in the era of fourth industrial revolution, design thinking for solving complex business problems along with the role and contribution of Government in Technology Development.
Price: 18.95 £ | Shipping*: 3.99 £
-
Is the Levene test for homogeneity of variances the same as one-way ANOVA?
No, the Levene test for homogeneity of variances is a separate statistical test used to assess whether the variances of the groups being compared in an ANOVA are equal. On the other hand, one-way ANOVA is a hypothesis test used to determine whether there are statistically significant differences between the means of three or more independent groups. The Levene test is often conducted before performing an ANOVA to ensure that the assumption of homogeneity of variances is met.
-
Is the Levene test for homogeneity of variances the same as the one-way ANOVA?
No, the Levene test for homogeneity of variances is a separate statistical test from the one-way ANOVA. The Levene test is used to determine if the variances of the groups being compared in an ANOVA are equal. It tests the null hypothesis that the variances are equal across all groups. On the other hand, the one-way ANOVA is used to test the null hypothesis that the means of the groups are equal. While both tests are related to comparing groups, they are testing different aspects of the data.
-
Which club has more right-wing fans, thus a greater homogeneity of the fan base: Rot-Weiß Erfurt or Hansa Rostock?
Hansa Rostock has a greater number of right-wing fans compared to Rot-Weiß Erfurt, leading to a higher homogeneity of the fan base in terms of political ideology. This is evident in the history of Hansa Rostock, where right-wing extremist groups have been known to have a presence among the fan base. On the other hand, Rot-Weiß Erfurt has a more diverse fan base with a lesser prevalence of right-wing supporters.
-
Which data storage medium is suitable for long-term data storage?
For long-term data storage, optical discs such as Blu-ray discs and archival-grade DVDs are suitable options. These discs have a longer lifespan compared to traditional CDs and DVDs, and they are less susceptible to degradation from environmental factors. Additionally, solid-state drives (SSDs) with high-quality NAND flash memory can also be used for long-term data storage due to their durability and reliability. It is important to regularly check and migrate data to newer storage mediums to ensure long-term preservation.
* All prices are inclusive of VAT and, if applicable, plus shipping costs. The offer information is based on the details provided by the respective shop and is updated through automated processes. Real-time updates do not occur, so deviations can occur in individual cases.