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An Introduction to Statistical Methods, 23rd Edition

An Introduction to Statistical Methods, 23rd Edition PDF Author: Gupta C.B.
Publisher: Vikas Publishing House
ISBN: 9788125916543
Category : Business & Economics
Languages : en
Pages : 872

Book Description
This best-selling textbook has been revised by adding a chapter on the theory of games. First published in 1957, this book continues to serve as a text for students taking statistics as a course in Commerce, Management, Economics or any other area of the social sciences. Emphasis has been laid on the significance of various statistical concepts to help readers understand and interpret them. A large number of illustrations have been provided to better demonstrate the use of statistical techniques in diverse situations and understand their applicability better.

An Introduction to Statistical Methods, 23rd Edition

An Introduction to Statistical Methods, 23rd Edition PDF Author: Gupta C.B.
Publisher: Vikas Publishing House
ISBN: 9788125916543
Category : Business & Economics
Languages : en
Pages : 872

Book Description
This best-selling textbook has been revised by adding a chapter on the theory of games. First published in 1957, this book continues to serve as a text for students taking statistics as a course in Commerce, Management, Economics or any other area of the social sciences. Emphasis has been laid on the significance of various statistical concepts to help readers understand and interpret them. A large number of illustrations have been provided to better demonstrate the use of statistical techniques in diverse situations and understand their applicability better.

An Introduction of Statistical Methods

An Introduction of Statistical Methods PDF Author: Candrabhan B. Gupta
Publisher:
ISBN: 9780706904598
Category : Statistics
Languages : en
Pages : 118

Book Description
1 Meaning, scope and origin. 2 Functions, importance and limitations. 3 Statistical enquiries. 4 Collection of data (i) 5 Collection of data (ii). 6 Classification and tabulation. 7 Diagrammatic representation. 8 Graphic presentation. 9 Measures of central tendency. 10 Measures of dispersion. 11 Skewness, moments and kurtosis. 12 Sampling and the concept of error. 13 The analysis of time series. 14 Index numbers. 15 Correlation and regression. 16 Association of attributes. 17 Interpolation. 18 Probability. 19. Binomial, normal and poisson distributions. 20 Sampling and statistical inference. 21 Vital statistics. 22 Statistical quality control ...

An Introduction to Statistical Methods

An Introduction to Statistical Methods PDF Author: C. B. Gupta
Publisher:
ISBN: 9780706999549
Category : Statistics
Languages : en
Pages : 771

Book Description


An Introduction to Statistical Methods and Data Analysis

An Introduction to Statistical Methods and Data Analysis PDF Author: R. Lyman Ott
Publisher: Cengage Learning
ISBN: 0495017582
Category : Mathematics
Languages : en
Pages : 1303

Book Description
Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Sixth Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little or no prior course work in statistics. The authors teach students to solve problems encountered in research projects, to make decisions based on data in general settings both within and beyond the university setting, and to become critical readers of statistical analyses in research papers and in news reports. The first eleven chapters present material typically covered in an introductory statistics course, as well as case studies and examples that are often encountered in undergraduate capstone courses. The remaining chapters cover regression modeling and design of experiments. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

An Introduction to Statistical Methods

An Introduction to Statistical Methods PDF Author: C. B. Gupta
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 758

Book Description


Introduction to Statistical Methods in Modern Genetics

Introduction to Statistical Methods in Modern Genetics PDF Author: M.C. Yang
Publisher: CRC Press
ISBN: 1482287390
Category : Mathematics
Languages : en
Pages : 247

Book Description
Although the basic statistical theory behind modern genetics is not very difficult, most statistical genetics papers are not easy to read for beginners in the field, and formulae quickly become very tedious to fit a particular area of application. Introduction to Statistical Methods in Modern Genetics distinguishes between the necessary and unnecessary complexity in a presentation designed for graduate-level statistics students. The author keeps derivations simple, but does so without losing the mathematical details. He also provides the required background in modern genetics for those looking forward to entering this arena. Along with some of the statistical tools important in genetics applications, students will learn: How a gene is found How scientists have separated the genetic and environmental aspects of a person's intelligence How genetics are used in agriculture to improve crops and domestic animals What a DNA fingerprint is and why there are controversies about it Although the author assumes students have a foundation in basic statistics, an appendix provides the necessary background beyond the elementary, including multinomial distributions, inference on frequency tables, and discriminant analysis. With clear explanations, a multitude of figures, and exercise sets in each chapter, this text forms an outstanding entrée into the rapidly expanding world of genetic data analysis.

An Introduction to Statistical Methods and Data Analysis

An Introduction to Statistical Methods and Data Analysis PDF Author: Lyman Ott
Publisher: Cengage Learning
ISBN: 9780495109143
Category : Mathematical statistics
Languages : en
Pages : 1296

Book Description
Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, 6th Edition, International Edition provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little or no prior course work in statistics. The authors teach students to solve problems encountered in research projects, to make decisions based on data in general settings both within and beyond the university setting, and to become critical readers of statistical analyses in research papers and in news reports. The first eleven chapters present material typically covered in an introductory statistics course, as well as case studies and examples that are often encountered in undergraduate capstone courses. The remaining chapters cover regression modeling and design of experiments.

An Introduction to Statistical Learning

An Introduction to Statistical Learning PDF Author: Gareth James
Publisher: Springer Nature
ISBN: 3031387473
Category : Mathematics
Languages : en
Pages : 617

Book Description
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.

Statistical Methods

Statistical Methods PDF Author: Dr. S.P. Gupta
Publisher: Sultan Chand & Sons
ISBN: 9351611760
Category : Business & Economics
Languages : en
Pages : 26

Book Description
The book has been written in a very simple and lucid style. The text material is self-explanatory and even the students learning statistics through distance education can follow it without much stress and strain. The treatment is non-mathematical in character and the readers can easily understand the text material without much taxing their minds. Besides good theory the book contains a large number of solved illustrations (to be exact, 885). These illustrations have been very carefully selected mainly from the latest examination question papers of various Universities all over India and neighbouring countries. This book is primarily meant to cater to the needs of under-graduate and post-graduate students of Commerce, Economics, Management and Professional Courses.

Statistical Methods for Social Scientists

Statistical Methods for Social Scientists PDF Author: Eric A Hanushek
Publisher: Academic Press
ISBN: 0080918573
Category : Mathematics
Languages : en
Pages : 374

Book Description
The aspects of this text which we believe are novel, at least in degree, include: an effort to motivate different sections with practical examples and an empirical orientation; an effort to intersperse several easily motivated examples throughout the book and to maintain some continuity in these examples; and the extensive use of Monte Carlo simulations to demonstrate particular aspects of the problems and estimators being considered. In terms of material being presented, the unique aspects include the first chapter which attempts to address the use of empirical methods in the social sciences, the seventh chapter which considers models with discrete dependent variables and unobserved variables. Clearly these last two topics in particular are quite advanced--more advanced than material that is currently available on the subject. These last two topics are also currently experiencing rapid development and are not adequately described in most other texts.