DATEPISTIMATICS [Статистика как наука] Эпистемологическая основа: Введение в Часть 1 © KiUkA Books © [Датапистиматика] Серия

The name Datepistimatics comes from the words "data" [as facts], "epistimi" [science in Greek] and "matic" [willing to perform in Latin]. Datepistimatics [the roots-and-stem of all Data Sciences] is a science of facts which goes beyond database-management and spreadsheets software, formulae and algorithms, mathematical calculations and models. It is a discipline constituting a replenished data-based epistemological platform for Statistics techniques, while deploying techniques in computer science, mathematics and other disciplines as complement tools in data analysis. On the other hand Datepistimatics provides a solid cascade for informed decisions.This book is a primer to part 1 of the © KiUkA Books © [Datepistimatics (Statistics as a Science)] Series; covering the epistemological foundations of Datepistimatics [Statistics replenished as a fact-based science]. Thereby the replenished concepts of data, measurement, datiudicium, data production, statistical variables and other related concepts are introduced. And the reader gets the understanding of Datepistimatics both as a science and as a fountain for informed decision making.The presentation format in the book is optimised for costs minimisation and the writing style is deliberately chosen to make the book virtually lecture Datepistimatics theory and techniques to the reader. That is to say first [in the eBook version] the versatile Kindle-Create bookmarks lead to easy topics/tables/figures reference. Second the paragraphs are numbered and itemised [the lawyers’ style] for easy cross reference of concepts throughout the book; thereby eliminating the need for hyperlinks in the eBook version. And third the subject matter exposition is in such a way that the reader enjoys the knowledge and its applications without fear of numbers, mathematical formulae and figures.The topics covered in the book are as below: 1. FOUNDATION CONCEPTS AND DEFINITIONS 1.1: DATEPISTIMATICS AS A SCIENCE OF FACTS1.2: DATA AND RELATED CONCEPTS1.3: EPISTEMOLOGICAL REALM OF DATEPISTIMATICS 2: MEASUREMENT AND DATIUDICIUM PROCESSES 2.1: CATEGORIES OF DATA MENSURAS2.2: MEASUREMENT PROCESS FUNDAMENTALS2.3: MEASUREMENT PROCESS [QUALITATIVE DATA MENSURAS] EXAMPLES2.4: MEASUREMENT PROCESS [QUANTITATIVE DATA MENSURAS] EXAMPLES2.5. DATIUDICIUM PROCESS FUNDAMENTALS2.6: DATIUDICIUM PROCESS [QUALITATIVE DATA MENSURAS] EXAMPLES2.7: DATIUDICIUM PROCESS [QUANTITATIVE DATA MENSURAS] EXAMPLES 3. DATA PRODUCTION FOUNDATION CONCEPTS 3.1: BASIC CONCEPTS AND DEFINITIONS3.2: DATA CLASSIFICATION3.3: DATA-PRODUCTION METHODOLOGIES AND METHODS3.4: CATEGORIES OF DAPPS 4. STATISTICAL VARIABLES AND DATA NUMERALS 4.1: STATISTICAL VARIABLE CONCEPT IN DATEPISTIMATICS4.2: QUALITATIVE STATISTICAL VARIABLES4.3: QUANTITATIVE STATISTICAL VARIABLES 5. DATA PRODUCTION UNDER UNCERTAINTY 5.1: FOUNDATION CONCEPTS IN PROBABILITY THEORY5.2: OVERVIEW ON PROBABILITY DISTRIBUTIONS5.3: MEASUREMENT AND DATIUDICIUM PROCESSES UNDER UNCERTAINTY