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Handbook of Continued Fractions for Special Functions (Repost)

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Handbook of Continued Fractions for Special Functions (Repost)

Handbook of Continued Fractions for Special Functions by Annie Cuyt
English | PDF | 2008 | 430 Pages | ISBN : 1402069480 | 6 MB

Special functions are pervasive in all fields of science and industry. The most well-known application areas are in physics, engineering, chemistry, computer science and statistics. Because of their importance, several books and websites (see for instance http: functions.wolfram.com) and a large collection of papers have been devoted to these functions. Of the standard work on the subject, namely the Handbook of Mathematical Functions with formulas, graphs and mathematical tables edited by Milton Abramowitz and Irene Stegun, the American National Institute of Standards claims to have sold over 700 000 copies!

Introduction to Quantitative Analysis for International Educators

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Introduction to Quantitative Analysis for International Educators

Introduction to Quantitative Analysis for International Educators by Melissa Whatley
English | PDF,EPUB | 2022 | 248 Pages | ISBN : 3030938301 | 9.5 MB

This textbook introduces international education scholars, professionals and graduate students to quantitative research methods. It provides them with the most foundational and useful concepts in quantitative analysis, using international education themes for all examples and practice problems. Readers will have a foundation to pursue more advanced methods and analyses, whether through formal training or future individual study.

Nonparametric Functional Data Analysis: Theory and Practice (Repost)

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Nonparametric Functional Data Analysis: Theory and Practice (Repost)

Nonparametric Functional Data Analysis: Theory and Practice by Frédéric Ferraty
English | PDF | 2006 | 261 Pages | ISBN : 0387303693 | 2.7 MB

Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On the other hand, nonparametric statistics produces useful tools for standard data exploration.

Probability, Statistical Optics, and Data Testing: A Problem Solving Approach

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Probability, Statistical Optics, and Data Testing: A Problem Solving Approach

Probability, Statistical Optics, and Data Testing: A Problem Solving Approach by B. Roy Frieden
English | PDF | 2001 | 507 Pages | ISBN : 3540417087 | 13.1 MB

Scientists in optics are increasingly confronted with problems that are of a random nature and that require a working knowledge of probability and statistics for their solution. This textbook develops these subjects within the context of optics using a problem-solving approach. All methods are explicitly derived and can be traced back to three simple axioms given at the outset. Students with some previous exposure to Fourier optics or linear theory will find the material particularly absorbing and easy to understand.

40 Puzzles and Problems in Probability and Mathematical Statistics

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40 Puzzles and Problems in Probability and Mathematical Statistics

40 Puzzles and Problems in Probability and Mathematical Statistics by Wolf Schwarz
English | PDF(True) | 2008 | 135 Pages | ISBN : 0387735119 | 2.2 MB

"40 Puzzles and Problems in Probability and Mathematical Statistics" is intended to teach the reader to think probabilistically by solving challenging, non-standard probability problems. The motivation for this clearly written collection lies in the belief that challenging problems help to develop, and to sharpen, our probabilistic intuition much better than plain-style deductions from abstract concepts. The selected problems fall into two broad categories. Problems related to probability theory come first, followed by problems related to the application of probability to the field of mathematical statistics. All problems seek to convey a non-standard aspect or an approach which is not immediately obvious.

New Introduction to Multiple Time Series Analysis

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New Introduction to Multiple Time Series Analysis

New Introduction to Multiple Time Series Analysis by Helmut Lütkepohl
English | PDF(True) | 2005 | 765 Pages | ISBN : 3540401725 | 13.3 BMB

This reference work and graduate level textbook considers a wide range of models and methods for analyzing and forecasting multiple time series. The models covered include vector autoregressive, cointegrated,vector autoregressive moving average, multivariate ARCH and periodic processes as well as dynamic simultaneous equations and state space models. Least squares, maximum likelihood and Bayesian methods are considered for estimating these models.

Practical Reporting with Ruby and Rails

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Practical Reporting with Ruby and Rails

Practical Reporting with Ruby and Rails by David Berube
English | PDF | 2008 | 296 Pages | ISBN : 1590599330 | 4.2 MB

Business intelligence and real–time reporting mechanisms play a major role in any of today's forward–looking business plans. With many of these solutions being moved to the Web, the popular Rails framework and its underlying Ruby language are playing a major role alongside web services in building the reporting solutions of tomorrow.

A Study of Quality Management of Official Statistics in China

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A Study of Quality Management of Official Statistics in China

A Study of Quality Management of Official Statistics in China by Wuyi Zeng
English | PDF,EPUB | 2022 | 225 Pages | ISBN : 981336601X | 6.6 MB

This book focuses on how to improve the quality management of official statistics in China. Official statistics help to build an overview of China’s social and economic development and play an important role in policymaking for government as well as in decision-making for enterprises. Because of the great value in reference, the quality of official statistics also constitutes the concern from the public. This book summarizes three levels for understanding the concept of the quality of official statistics and analyzes possible affections from social and economic environment, political and management perspectives.

Applied Bayesian Statistical Studies in Biology and Medicine

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Applied Bayesian Statistical Studies in Biology and Medicine

Applied Bayesian Statistical Studies in Biology and Medicine by M. Di Bacco
English | PDF | 2004 | 269 Pages | ISBN : 1402075480 | 22.7 MB

It was written on another occasion· that "It is apparent that the scientific culture, if one means production of scientific papers, is growing exponentially, and chaotically, in almost every field of investigation".

Exact Statistical Methods for Data Analysis

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Exact Statistical Methods for Data Analysis

Exact Statistical Methods for Data Analysis by Samaradasa Weerahandi
English | PDF | 1995 | 343 Pages | ISBN : 0387943609 | 39.9 MB

Now available in paperback. This book covers some recent developments in statistical inference. The author's main aim is to develop a theory of generalized p-values and generalized confidence intervals and to show how these concepts may be used to make exact statistical inferences in a variety of practical applications.

Machine Learning and Knowledge Discovery in Databases. Research Track (Repost)

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Machine Learning and Knowledge Discovery in Databases. Research Track (Repost)

Machine Learning and Knowledge Discovery in Databases. Research Track; European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part I by Nuria Oliver
English | EPUB | 2021 | 838 Pages | ISBN : 3030864855 | 101.4 MB

The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic.

Stochastic Models, Statistics and Their Applications: Dresden, Germany, March 2019 (Repost)

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Stochastic Models, Statistics and Their Applications: Dresden, Germany, March 2019 (Repost)

Stochastic Models, Statistics and Their Applications: Dresden, Germany, March 2019 by Ansgar Steland
English | EPUB | 2019 | 450 Pages | ISBN : 3030286649 | 33.1 MB

This volume presents selected and peer-reviewed contributions from the 14th Workshop on Stochastic Models, Statistics and Their Applications, held in Dresden, Germany, on March 6-8, 2019. Addressing the needs of theoretical and applied researchers alike, the contributions provide an overview of the latest advances and trends in the areas of mathematical statistics and applied probability, and their applications to high-dimensional statistics, econometrics and time series analysis, statistics for stochastic processes, statistical machine learning, big data and data science, random matrix theory, quality control, change-point analysis and detection, finance, copulas, survival analysis and reliability, sequential experiments, empirical processes, and microsimulations.

Matrix Algebra From a Statistician’s Perspective

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Matrix Algebra From a Statistician’s Perspective

Matrix Algebra From a Statistician’s Perspective by David A. Harville
English | PDF | 1997 | 644 Pages | ISBN : 038794978X | 6.7 MB

This book presents matrix algebra in a way that is well-suited for those with an interest in statistics or a related discipline. It provides thorough and unified coverage of the fundamental concepts along with the specialized topics encountered in areas of statistics such as linear statistical models and multivariate analysis.

Introduction to Time Series and Forecasting

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Introduction to Time Series and Forecasting

Introduction to Time Series and Forecasting by Peter J. Brockwell
English | PDF | 1996 | 429 Pages | ISBN : 0387947191 | 34.7 MB

Some of the key mathematical results are stated without proof in order to make the underlying theory acccessible to a wider audience. The book assumes a knowledge only of basic calculus, matrix algebra, and elementary statistics.

Time Series: Theory and Methods, Second Edition

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Time Series: Theory and Methods, Second Edition

Time Series: Theory and Methods, Second Edition by Peter J. Brockwell
English | PDF | 1991 | 591 Pages | ISBN : 0387974296 | 38 MB

Time Series: Theory and Methods is a systematic account of linear time series models and their application to the modeling and prediction of data collected sequentially in time.