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Колданов Петр Александрович
Этот курс знакомит вас с основами проверки гипотез, процедурами множественной проверки гипотез, которые контролируют некоторый показатель качества применяемой процедуры, используя имеющиеся наблюдения или данные. В течение курса помимо теоретических аспектов будут рассмотрены реальные прикладные задачи, а также предложен ряд практических заданий, успешное выполнение которых поможет глубже разбораться в изучаемом материале.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
This course introduces you to the fundamentals of hypothesis testing, multiple hypothesis testing procedures that control some quality measure of the applied procedure using observations or data available

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Введение в теорию построения процедур множественной проверки гипотез with these activities:
Organize and review course materials
Organizing and reviewing your course materials will help you stay on top of the material and improve your retention.
Show steps
  • Gather all of your course materials
  • Create a system for organizing your materials
  • Review your materials regularly
Review foundational statistical concepts
Complete this review to strengthen your foundation and be better prepared to engage with the course materials from the beginning.
Browse courses on Statistical Concepts
Show steps
  • Review key probability distributions
  • Solve practice problems involving hypothesis testing
  • Complete a refresher course on statistical software
Watch video tutorials on hypothesis testing
Watching video tutorials can help you learn the basics of hypothesis testing and reinforce the concepts covered in the course.
Browse courses on Hypothesis Testing
Show steps
  • Search for video tutorials on hypothesis testing
  • Watch the videos and take notes
  • Complete any practice exercises provided in the videos
Five other activities
Expand to see all activities and additional details
Show all eight activities
Read a textbook on hypothesis testing
Reading a textbook will provide you with a comprehensive understanding of the theory and methods of hypothesis testing.
Show steps
  • Find a textbook on hypothesis testing
  • Read the chapters on hypothesis testing
  • Complete the practice exercises and problems
Solve practice problems on hypothesis testing
Practicing hypothesis testing problems will help you develop your problem-solving skills and deepen your understanding of the concepts.
Browse courses on Hypothesis Testing
Show steps
  • Find practice problems online or in textbooks
  • Solve the problems and check your answers
  • Identify areas where you need additional practice
Attend a local conference or workshop on statistics
Attending a conference or workshop will expose you to cutting-edge research and allow you to connect with other professionals in the field.
Browse courses on Networking
Show steps
  • Research upcoming conferences or workshops
  • Register for the event
  • Attend the sessions and participate in the discussions
  • Network with other attendees
Form a study group with other students
Forming a study group will allow you to collaborate with other students, share knowledge, and learn from each other.
Show steps
  • Find other students who are interested in forming a study group
  • Decide on a meeting schedule and location
  • Prepare for each meeting by reviewing the material and completing any assignments
  • Discuss the material, work on problems together, and quiz each other
Design and conduct a simulation study
Conducting a simulation study will help you apply the concepts of hypothesis testing and statistical modeling to a practical problem.
Browse courses on Hypothesis Testing
Show steps
  • Define the research question and hypotheses
  • Design the simulation experiment
  • Write a simulation program
  • Run the simulation and analyze the results
  • Write a report on the findings

Career center

Learners who complete Введение в теорию построения процедур множественной проверки гипотез will develop knowledge and skills that may be useful to these careers:
Biostatistician
A Biostatistician develops and applies statistical methods to solve problems in biology, medicine, and public health. They design and conduct studies, analyze data, and interpret results. This course may be helpful to a Biostatistician because it provides a foundation in the theory of hypothesis testing and multiple hypothesis testing procedures.
Epidemiologist
An Epidemiologist investigates the causes and patterns of health and disease in populations. They design and conduct studies, analyze data, and interpret results. This course may be helpful to an Epidemiologist because it provides a foundation in the theory of hypothesis testing and multiple hypothesis testing procedures.
Data Scientist
A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course may be helpful to a Data Scientist because it provides a foundation in the theory of hypothesis testing and multiple hypothesis testing procedures.
Market Researcher
A Market Researcher conducts research to understand consumer behavior and market trends. They design and conduct surveys, analyze data, and interpret results. This course may be helpful to a Market Researcher because it provides a foundation in the theory of hypothesis testing and multiple hypothesis testing procedures.
Operations Research Analyst
An Operations Research Analyst uses mathematical and analytical methods to improve the efficiency and effectiveness of operations. They design and conduct studies, analyze data, and interpret results. This course may be helpful to an Operations Research Analyst because it provides a foundation in the theory of hypothesis testing and multiple hypothesis testing procedures.
Psychologist
A Psychologist studies behavior and mental processes. They design and conduct studies, analyze data, and interpret results. This course may be helpful to a Psychologist because it provides a foundation in the theory of hypothesis testing and multiple hypothesis testing procedures.
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical methods to analyze financial data. They develop and implement trading strategies, and manage risk. This course may be helpful to a Quantitative Analyst because it provides a foundation in the theory of hypothesis testing and multiple hypothesis testing procedures.
Research Scientist
A Research Scientist conducts research to advance knowledge in a particular field. They design and conduct studies, analyze data, and interpret results. This course may be helpful to a Research Scientist because it provides a foundation in the theory of hypothesis testing and multiple hypothesis testing procedures.
Pharmacist
A Pharmacist dispenses medications, provides patient counseling, and monitors patient progress. They may also participate in research and development. This course may be helpful to a Pharmacist because it provides a foundation in the theory of hypothesis testing and multiple hypothesis testing procedures.
Physician
A Physician diagnoses and treats diseases and injuries. They may also participate in research and development. This course may be helpful to a Physician because it provides a foundation in the theory of hypothesis testing and multiple hypothesis testing procedures.
Public Health Scientist
A Public Health Scientist investigates the causes and patterns of health and disease in populations. They design and conduct studies, analyze data, and interpret results. This course may be helpful to a Public Health Scientist because it provides a foundation in the theory of hypothesis testing and multiple hypothesis testing procedures.
Statistician
A Statistician collects, analyzes, interprets, and presents data. They work in a variety of fields, including business, government, and academia. This course may be helpful to a Statistician because it provides a foundation in the theory of hypothesis testing and multiple hypothesis testing procedures.
Survey Researcher
A Survey Researcher designs and conducts surveys to collect data on a particular topic. They analyze data and interpret results. This course may be helpful to a Survey Researcher because it provides a foundation in the theory of hypothesis testing and multiple hypothesis testing procedures.
Teacher
A Teacher develops and implements lesson plans, teaches students, and assesses student learning. They may teach a variety of subjects, including science, math, and English. This course may be helpful to a Teacher because it provides a foundation in the theory of hypothesis testing and multiple hypothesis testing procedures.
Writer
A Writer creates written content for a variety of purposes, including marketing, journalism, and technical writing. They may write for a variety of audiences, including consumers, businesses, and professionals. This course may be helpful to a Writer because it provides a foundation in the theory of hypothesis testing and multiple hypothesis testing procedures.

Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Введение в теорию построения процедур множественной проверки гипотез.
Provides a comprehensive and rigorous treatment of the theory and methods of statistical rethinking. It valuable resource for researchers who are interested in developing new methods for statistical rethinking or who want to better understand the existing methods.
Provides a comprehensive and rigorous treatment of the theory of mathematical statistics. It valuable resource for researchers who are interested in the foundations of statistical inference.
Provides a comprehensive and rigorous treatment of the theory of probability and statistical inference. It valuable resource for researchers who are interested in the foundations of statistical inference.
Provides a comprehensive and rigorous treatment of the theory and methods of statistical learning. It valuable resource for researchers who are interested in developing new methods for statistical learning or who want to better understand the existing methods.
Provides a comprehensive and rigorous treatment of the theory and methods of machine learning. It valuable resource for researchers who are interested in developing new methods for machine learning or who want to better understand the existing methods.
Provides a comprehensive and rigorous treatment of the theory and methods of deep learning. It valuable resource for researchers who are interested in developing new methods for deep learning or who want to better understand the existing methods.
Provides a comprehensive and rigorous treatment of the theory and methods of reinforcement learning. It valuable resource for researchers who are interested in developing new methods for reinforcement learning or who want to better understand the existing methods.
Provides a comprehensive and rigorous treatment of the theory and methods of natural language processing. It valuable resource for researchers who are interested in developing new methods for natural language processing or who want to better understand the existing methods.
Provides a comprehensive and rigorous treatment of the theory and methods of computer vision. It valuable resource for researchers who are interested in developing new methods for computer vision or who want to better understand the existing methods.
Provides a comprehensive and rigorous treatment of the theory and methods of information theory, inference, and learning algorithms. It valuable resource for researchers who are interested in developing new methods for information theory, inference, and learning algorithms or who want to better understand the existing methods.
Provides a comprehensive and rigorous treatment of the theory and methods of Bayesian data analysis. It valuable resource for researchers who are interested in developing new methods for Bayesian data analysis or who want to better understand the existing methods.
Provides a comprehensive and rigorous treatment of the theory and methods of causal inference in statistics. It valuable resource for researchers who are interested in developing new methods for causal inference in statistics or who want to better understand the existing methods.
Provides a comprehensive and rigorous treatment of the theory of statistical hypothesis testing. It valuable resource for researchers who are interested in the foundations of statistical inference.

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