Статистический анализ обеспечивающего процесса организации нефтегазовой отрасли

Статистический анализ обеспечивающего процесса организации нефтегазовой отрасли

Bibliographic Details
Parent link:	Ресурсосберегающие технологии в контроле, управлении качеством и безопасности.— 2021.— [С. 201-205]
Main Author:	Тартыкова А. Х. Анна Хайрулловна
Corporate Author:	Национальный исследовательский Томский политехнический университет
Summary:	Заглавие с экрана В статье рассмотрен алгоритм и статистические методы для проведения статистического анализа обеспечивающего процесса организации нефтегазовой отрасли. The article discusses an algorithm and statistical methods that can be used to conduct a statistical analysis of the supporting process of organizing the oil and gas industry.
Language:	Russian
Published:	2021
Subjects:	электронный ресурс труды учёных ТПУ статистический анализ статистические методы методы анализа процессы нефтегазовая отрасль продолжительность алгоритмы statistical analysis statistical methods of analysis process supporting processes supporting processes of the organization of the oil gas industry duration of the process
Online Access:	http://earchive.tpu.ru/handle/11683/64371
Format:	Electronic Book Chapter
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=632574

Similar Items

Поиск возможностей для улучшения процесса на основе статистических методов
by: Мойзес Б. Б. Борис Борисович
Published: (2022)

Разработка требований к проведению анализа несоответствий
by: Тартыкова А. Х. Анна Хайрулловна
Published: (2019)

Statistics and Data Analysis for Engineers and Scientists
by: Mustafy, Tanvir, et al.
Published: (2024)

Theoretical, Modelling and Numerical Simulations Toward Industry 4.0
Published: (2021)

Big Qual A Guide to Breadth-and-Depth Analysis /
by: Weller, Susie, et al.
Published: (2023)

Unity from Diversity Pluralist Systemic Thinking for Social and Behavioural Research /
by: Cooksey, Ray W.
Published: (2024)

Applied Statistics and Multivariate Data Analysis for Business and Economics A Modern Approach Using SPSS, Stata, and Excel /
by: Cleff, Thomas
Published: (2019)

Applied Statistics and Multivariate Data Analysis for Business and Economics A Modern Approach Using R, SPSS, Stata, and Excel /
by: Cleff, Thomas
Published: (2025)

Applied Linear Regression for Business Analytics with R A Practical Guide to Data Science with Case Studies /
by: McGibney, Daniel P.
Published: (2023)

Modeling Social Processes of Aggregation
by: Hazelrigg, Lawrence
Published: (2025)

Understanding the Role of Business Analytics Some Applications /
Published: (2019)

A Beginner’s Guide to Statistics for Criminology and Criminal Justice Using R
by: Wooditch, Alese, et al.
Published: (2021)

Актуальность вопросов промышленной безопасности на производственных объектах
by: Затонова Е. Д. Елена Демьяновна
Published: (2018)

Quantitative Methods for the Social Sciences A Practical Introduction with Examples in SPSS and Stata /
by: Stockemer, Daniel
Published: (2019)

The Rise of Artificial Intelligence and Big Data in Pandemic Society Crises, Risk and Sacrifice in a New World Order /
by: Shibuya, Kazuhiko
Published: (2022)

The Signed Distance Measure in Fuzzy Statistical Analysis Theoretical, Empirical and Programming Advances /
by: Berkachy, Rédina
Published: (2021)

More Judgment Than Data Data Literacy and Decision-Making /
by: Jones, Michael
Published: (2022)

Qualitative Methods and Data Analysis Using ATLAS.ti A Comprehensive Researchers’ Manual /
by: Gupta, Ajay
Published: (2023)

Doing Qualitative Data Analysis with NVivo
by: Mortelmans, Dimitri
Published: (2025)

Applied Statistics for Business and Management using Microsoft Excel
by: Herkenhoff, Linda, et al.
Published: (2025)

Quantitative Methods for the Social Sciences A Practical Introduction with Examples in R /
by: Stockemer, Daniel, et al.
Published: (2023)

Diversity in Survey Questions on the Same Topic Techniques for Improving Comparability /
by: de Jonge, Tineke, et al.
Published: (2017)

Analyzing Qualitative Data with MAXQDA Text, Audio, and Video /
by: Kuckartz, Udo, et al.
Published: (2019)

MATLAB for Psychologists
by: Borgo, Mauro, et al.
Published: (2025)

Intellectual Property Statistics Measuring Framework for Standards and Trade in Ideas /
by: Ullberg, Eskil
Published: (2023)

Higher Education 4.0 The Digital Transformation of Classroom Lectures to Blended Learning /
by: Jones, Kevin Anthony, et al.
Published: (2021)

Quantile Regression for Cross-Sectional and Time Series Data Applications in Energy Markets Using R /
by: Uribe, Jorge M., et al.
Published: (2020)

Digital Methods for Social Science An Interdisciplinary Guide to Research Innovation /
Published: (2016)

Computational Probability Algorithms and Applications in the Mathematical Sciences /
by: Drew, John H., et al.
Published: (2017)

Computational Probability Applications
Published: (2017)

Systematic Mixed-Methods Research for Social Scientists
by: Olsen, Wendy
Published: (2022)

Статистическая обработка данных поверхностных свойств биосовместимых материалов после обработки поверхности
by: Аргоева А. Д.
Published: (2025)

Are Statistics Only Made of Data? Know-how and Presupposition from the 17th and 19th Centuries /
by: Brian, Éric
Published: (2024)

Handbook of Mathematical Methods in Imaging
Published: (2020)

DIIS Theory and Methodology in Think Tanks
by: Pan, Jiaofeng
Published: (2021)

Discrete Choice Experiments Using R A How-To Guide for Social and Managerial Sciences /
by: Shang, Liang, et al.
Published: (2023)

People Analytics Data to Decisions /
by: Ghatak, Rahul
Published: (2022)

Applied Data Science in Tourism Interdisciplinary Approaches, Methodologies, and Applications /
Published: (2022)

Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging Mathematical Imaging and Vision /
Published: (2021)

Blind Identification of Structured Dynamic Systems A Deterministic Perspective /
by: Yu, Chengpu, et al.
Published: (2022)