Name: Indian Statisticians and Their Contributions
Uploaded: 2023-11-07
Duration: 2 min 13 s
Description: To The Activity Of Descriptive Statistics. PRESENTED BY:DHANASHRI SUBHASH POKHARKAR.

To The Activity Of Descriptive Statistics. PRESENTED BY:DHANASHRI SUBHASH POKHARKAR. 

Scene 2

To  The Activity Of Descriptive Statistics

A Journey through Notable Achievements. Indian Statisticians and Their Contributions. 

Scene 3

Indian Statisticians and Their Contributions

INTRODUCTION TO STATISTICS IN INDIA. What is meant by Statistics:. 

Scene 4

Statistics is a branch of mathematics that involves collecting, analyzing, interpreting, presenting, and organizing data. It deals with the study of data and the underlying patterns and relationships within that data. Statistics encompasses a wide range of methods and techniques used to gather, process, and draw conclusions from data.

Importance of statisticians in shaping the field of statistics. 

Scene 5

Importance of statisticians in shaping the field of statistics

P.C. Mahalanobis. [image] Prasanta Chandra Mahalanobis Wikipedia. 

Scene 6

[image] Prasanta Chandra Mahalanobis Wikipedia

Born 29 June 1893
Calcutta, Bengal Presidency, British India Died 28 June 1972 (aged 78)
Kolkata, West Bengal, India Alma mater University of Calcutta (B.Sc.)
King's College, Cambridge (B.A.)[2]

Founding of the Indian Statistical Institute (ISI): In 1931, P.C. Mahalanobis, along with other prominent statisticians and scholars, founded the Indian Statistical Institute (ISI) in Kolkata. The ISI was established to promote the study and application of statistics in India. It became a premier institution for research and education in statistics and allied fields.. 

Scene 7

Founding of the Indian Statistical Institute (ISI): In 1931, P.C. Mahalanobis, along with other prominent statisticians and scholars, founded the Indian Statistical Institute (ISI) in Kolkata. The ISI was established to promote the study and application of statistics in India. It became a premier institution for research and education in statistics and allied fields.

Statistical Sampling Techniques: Mahalanobis made significant contributions to the field of sampling theory. He developed the Mahalanobis distance, which is a measure of the distance between a point and a distribution, and it is widely used in multivariate statistical analysis and classification problems.

National Sample Survey: Under Mahalanobis's leadership, the ISI conducted the first large-scale national sample survey in India in 1937. This pioneering survey aimed to collect data on agricultural conditions and helped in understanding the socio-economic conditions of rural India.

Economic Planning: Mahalanobis played a crucial role in India's economic planning process, particularly in the development of the Second Five-Year Plan (1956-1961). His statistical expertise was instrumental in formulating policies for industrialization, resource allocation, and balanced regional development.

Statistical Education: P.C. Mahalanobis was a dedicated educator. He established the ISI as a center for statistical research and education, providing training and resources to a new generation of statisticians in India

C.R. Rao. Born 10 September 1920, Huvina Hadagali Died 22 August 2023, Buffalo, New York, United States Notable students R. Srinivasa Varadhan, K. R. Parthasarathy, MORE ]. 

Scene 8

Born 10                    September 1920, Huvina Hadagali
 Died 22 August 2023, Buffalo, New York, United States
 Notable students R. Srinivasa Varadhan, K. R. Parthasarathy, MORE ]

Rao earned his Ph.D. in statistics from the University of Cambridge in 1948. Throughout his distinguished career, he has held prestigious positions at several renowned institutions, including the Indian Statistical Institute, the University of Pittsburgh, and Pennsylvania State University.. 

Scene 9

Rao earned his Ph.D. in statistics from the University of Cambridge in 1948. Throughout his distinguished career, he has held prestigious positions at several renowned institutions, including the Indian Statistical Institute, the University of Pittsburgh, and Pennsylvania State University.

One of Rao's most significant contributions is the development of key statistical concepts and techniques, including the Cramér-Rao inequality and Rao-Blackwell theorem. The Cramér-Rao inequality establishes a lower bound on the variance of unbiased estimators, providing fundamental insights into the precision of statistical estimates. The Rao-Blackwell theorem is a fundamental result in mathematical statistics, demonstrating how to improve the precision of an estimator by conditioning it on a sufficient statistic.

Rao has also made substantial contributions to multivariate analysis, experimental design, and statistical inference. His work has had a profound impact on various fields, including economics, engineering, biology, and social sciences. He has authored numerous research papers and several influential books on statistics.

In recognition of his outstanding contributions to the field of statistics, Rao has received numerous awards and honors, including the prestigious National Medal of Science in the United States, the Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel (often referred to as the Nobel Prize in Economics), and the Padma Vibhushan, one of India's highest civilian honors.

history and significance of the Indian Statistical Institute. 

Scene 10

history and significance of the Indian Statistical Institute

The Indian Statistical Institute was founded by the renowned Indian statistician, P.C. Mahalanobis, in Kolkata, India, with the vision of advancing statistics and its applications in the country.

P.C. Mahalanobis was inspired by his studies at the University of Cambridge and aimed to establish a world-class institution in India that could contribute to the country's socioeconomic development by harnessing the power of statistics.

ISI started as a small organization with a handful of scholars but quickly gained recognition for its rigorous academic programs and pioneering research in statistics.

The Indian Statistical Institute (ISI) is a renowned academic and research institution dedicated to the development and promotion of statistics and related sciences in India. Established in 1931, ISI has a rich history and continues to be a significant hub for research and education in the field of statistics and mathematics.

Significance:. Pioneering Research: ISI has a long history of producing groundbreaking research in the field of statistics, mathematics, and related areas. It has been the birthplace of several fundamental statistical concepts and methodologies, including the Mahalanobis Distance and robust statistical methods.. 

Scene 11

Pioneering Research: ISI has a long history of producing groundbreaking research in the field of statistics, mathematics, and related areas. It has been the birthplace of several fundamental statistical concepts and methodologies, including the Mahalanobis Distance and robust statistical methods.

Education: ISI offers undergraduate, postgraduate, and doctoral programs in statistics, mathematics, computer science, and other related disciplines. Its rigorous academic curriculum and exceptional faculty have produced some of India's and the world's most prominent statisticians and mathematicians.

Statistical Surveys: ISI plays a crucial role in conducting statistical surveys and collecting data for various government agencies, which is essential for policy formulation and decision-making in India.

Promotion of Statistics: ISI has been instrumental in promoting the understanding and use of statistics in various fields, including industry, government, and academia. It has organized numerous workshops, seminars, and conferences to foster statistical literacy and application.

Development of Economic Planning: P.C. Mahalanobis, the founder of ISI, played a pivotal role in formulating India's Second Five-Year Plan, utilizing statistical methods and models developed at ISI. This plan significantly influenced India's economic development and resource allocation.

Applications of Indian Statistics. 1. Social Sciences:. 

Scene 12

Economic Surveys: The Indian government conducts regular economic surveys to assess the economic health of the nation. Statistical techniques are applied to analyze data on GDP growth, employment rates, inflation, and other economic indicators, guiding economic policies and reforms.

Census Data Analysis: India conducts a decennial census, and statistical analysis of this data provides crucial demographic information. Social scientists utilize this data for studying population trends, migration patterns, and urbanization rates, informing social policies and urban planning.

Crop Yield Prediction: Statistical models are developed using historical agricultural data to predict crop yields. This helps farmers, policymakers, and agricultural researchers plan for efficient crop management, irrigation, and distribution.

studies or projects where Indian statisticians played a crucial role:. 

Scene 13

studies or projects where Indian statisticians played a crucial role:

1. National Family Health Surveys (NFHS):

Indian statisticians have played a vital role in conducting the National Family Health Surveys, a series of large-scale, nationally representative surveys focusing on maternal and child health, family planning, nutrition, and other health-related indicators. These surveys provide essential data for health policies and interventions.

2. India Human Development Survey (IHDS):

The IHDS, conducted by researchers from the University of Maryland and National Council of Applied Economic Research (NCAER) in India, involves extensive surveys on various aspects of households, including economic, social, and health indicators. Indian statisticians have been integral to the design, implementation, and analysis of this longitudinal survey, providing valuable socio-economic insights.

During the COVID-19 pandemic, Indian statisticians and data scientists have been actively involved in analyzing pandemic-related data, such as infection rates, mortality rates, and vaccination coverage. Their analyses have helped policymakers make informed decisions and implement effective public health measures.

challenges faced by statisticians in India. 1. Data Quality and Availability:. 

Scene 14

challenges faced by statisticians in India

Limited availability of high-quality, reliable data for analysis, especially in certain sectors and regions, poses a significant challenge for statisticians. Incomplete or inaccurate data can lead to unreliable results and hinder effective decision-making.

Limited statistical literacy among the general population, policymakers, and even professionals in different fields can make it challenging for statisticians to communicate their findings effectively. Misinterpretation of statistical results may lead to flawed conclusions and decisions.

Adequate funding and resources are crucial for conducting comprehensive surveys, experiments, and studies. Limited financial resources can restrict the scope and scale of research projects, hindering the ability to gather sufficient data for meaningful analyses.

The importance of statistical work is not always well-recognized or appreciated by the general public. Statisticians might face challenges in gaining recognition for their contributions to research, policy, and decision-making processes.

Conclusion. 1. Pioneering Statistical Methods:. Indian statisticians have developed innovative statistical methods and techniques, contributing to the foundation of modern statistical theory. Their work includes advancements in probability theory, regression analysis, multivariate analysis, and experimental design.. 

Scene 15

Indian statisticians have developed innovative statistical methods and techniques, contributing to the foundation of modern statistical theory. Their work includes advancements in probability theory, regression analysis, multivariate analysis, and experimental design.

Indian statisticians have conducted extensive national surveys, collecting and analyzing data on demographics, health, education, and economics. These surveys have provided valuable insights for policy formulation and social development.

With the rise of data science, Indian statisticians have contributed to big data analytics, machine learning, and artificial intelligence. They have applied statistical techniques to vast datasets, enabling data-driven decision-making in various sectors.

Indian Statisticians and Their Contributions

Page 1 (11s)

Page 2 (22s)

Page 3 (29s)

Page 4 (35s)

Page 5 (42s)

Page 6 (47s)

Page 7 (52s)

Page 8 (57s)

Page 9 (1m 15s)

Page 10 (1m 22s)

Page 11 (1m 27s)

Page 12 (1m 34s)

Page 13 (1m 41s)

Page 14 (2m 15s)

Page 15 (2m 20s)