Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Probability Statistics And Other Frightening Stuff
Download Probability Statistics And Other Frightening Stuff full books in PDF, epub, and Kindle. Read online Probability Statistics And Other Frightening Stuff ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Probability, Statistics and Other Frightening Stuff by : Alan R. Jones
Download or read book Probability, Statistics and Other Frightening Stuff written by Alan R. Jones and published by Routledge. This book was released on 2018-10-09 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability, Statistics and Other Frightening Stuff (Volume II of the Working Guides to Estimating & Forecasting series) considers many of the commonly used Descriptive Statistics in the world of estimating and forecasting. It considers values that are representative of the ‘middle ground’ (Measures of Central Tendency), and the degree of data scatter (Measures of Dispersion and Shape) around the ‘middle ground’ values. A number of Probability Distributions and where they might be used are discussed, along with some fascinating and useful ‘rules of thumb’ or short-cut properties that estimators and forecasters can exploit in plying their trade. With the help of a ‘Correlation Chicken’, the concept of partial correlation is explained, including how the estimator or forecaster can exploit this in reflecting varying levels of independence and imperfect dependence between an output or predicted value (such as cost) and an input or predictor variable such as size. Under the guise of ‘Tails of the unexpected’ the book concludes with two chapters devoted to Hypothesis Testing (or knowing when to accept or reject the validity of an assumed estimating relationship), and a number of statistically-based tests to help the estimator to decide whether to include or exclude a data point as an ‘outlier’, one that appears not to be representative of that which the estimator is tasked to produce. This is a valuable resource for estimators, engineers, accountants, project risk specialists as well as students of cost engineering.
Book Synopsis Probability, Statistics and Other Frightening Stuff by : Alan R. Jones
Download or read book Probability, Statistics and Other Frightening Stuff written by Alan R. Jones and published by Routledge. This book was released on 2018-10-09 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability, Statistics and Other Frightening Stuff (Volume II of the Working Guides to Estimating & Forecasting series) considers many of the commonly used Descriptive Statistics in the world of estimating and forecasting. It considers values that are representative of the ‘middle ground’ (Measures of Central Tendency), and the degree of data scatter (Measures of Dispersion and Shape) around the ‘middle ground’ values. A number of Probability Distributions and where they might be used are discussed, along with some fascinating and useful ‘rules of thumb’ or short-cut properties that estimators and forecasters can exploit in plying their trade. With the help of a ‘Correlation Chicken’, the concept of partial correlation is explained, including how the estimator or forecaster can exploit this in reflecting varying levels of independence and imperfect dependence between an output or predicted value (such as cost) and an input or predictor variable such as size. Under the guise of ‘Tails of the unexpected’ the book concludes with two chapters devoted to Hypothesis Testing (or knowing when to accept or reject the validity of an assumed estimating relationship), and a number of statistically-based tests to help the estimator to decide whether to include or exclude a data point as an ‘outlier’, one that appears not to be representative of that which the estimator is tasked to produce. This is a valuable resource for estimators, engineers, accountants, project risk specialists as well as students of cost engineering.
Book Synopsis Risk, Opportunity, Uncertainty and Other Random Models by : Alan R. Jones
Download or read book Risk, Opportunity, Uncertainty and Other Random Models written by Alan R. Jones and published by Routledge. This book was released on 2018-09-13 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Risk, Opportunity, Uncertainty and Other Random Models (Volume V in the Working Guides to Estimating and Forecasting series) goes part way to debunking the myth that research and development cost are somewhat random, as under certain conditions they can be observed to follow a pattern of behaviour referred to as a Norden-Rayleigh Curve, which unfortunately has to be truncated to stop the myth from becoming a reality! However, there is a practical alternative in relation to a particular form of PERT-Beta Curve. However, the major emphasis of this volume is the use of Monte Carlo Simulation as a general technique for narrowing down potential outcomes of multiple interacting variables or cost drivers. Perhaps the most common of these in the evaluation of Risk, Opportunity and Uncertainty. The trouble is that many Monte Carlo Simulation tools are ‘black boxes’ and too few estimators and forecasters really appreciate what is happening inside the ‘black box’. This volume aims to resolve that and offers tips into things that might need to be considered to remove some of the uninformed random input that often creates a misinformed misconception of ‘it must be right!’ Monte Carlo Simulation can be used to model variable determine Critical Paths in a schedule, and is key to modelling Waiting Times and cues with random arisings. Supported by a wealth of figures and tables, this is a valuable resource for estimators, engineers, accountants, project risk specialists as well as students of cost engineering.
Book Synopsis Best Fit Lines & Curves by : Alan R. Jones
Download or read book Best Fit Lines & Curves written by Alan R. Jones and published by Routledge. This book was released on 2018-10-09 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Best Fit Lines and Curves, and Some Mathe-Magical Transformations (Volume III of the Working Guides to Estimating & Forecasting series) concentrates on techniques for finding the Best Fit Line or Curve to some historical data allowing us to interpolate or extrapolate the implied relationship that will underpin our prediction. A range of simple ‘Moving Measures’ are suggested to smooth the underlying trend and quantify the degree of noise or scatter around that trend. The advantages and disadvantages are discussed and a simple way to offset the latent disadvantage of most Moving Measure Techniques is provided. Simple Linear Regression Analysis, a more formal numerical technique that calculates the line of best fit subject to defined ‘goodness of fit’ criteria. Microsoft Excel is used to demonstrate how to decide whether the line of best fit is a good fit, or just a solution in search of some data. These principles are then extended to cover multiple cost drivers, and how we can use them to quantify 3-Point Estimates. With a deft sleight of hand, certain commonly occurring families of non-linear relationships can be transformed mathe-magically into linear formats, allowing us to exploit the powers of Regression Analysis to find the Best Fit Curves. The concludes with an exploration of the ups and downs of seasonal data (Time Series Analysis). Supported by a wealth of figures and tables, this is a valuable resource for estimators, engineers, accountants, project risk specialists as well as students of cost engineering.
Book Synopsis Principles, Process and Practice of Professional Number Juggling by : Alan R. Jones
Download or read book Principles, Process and Practice of Professional Number Juggling written by Alan R. Jones and published by Routledge. This book was released on 2018-09-13 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Principles, Process and Practice of Professional Number Juggling (Volume 1 of the Working Guides to Estimating & Forecasting series) sets the scene of TRACEability and good estimate practice that is followed in the other volumes in this series of five working guides. It clarifies the difference between an Estimating Process, Procedure, Approach, Method and Technique. It expands on these definitions of Approach (Top-down, Bottom-up and ‘Ethereal’) and Method (Analogy, Parametric and ‘Trusted Source’) and discusses how these form the basis of all other means of establishing an estimate. This volume also underlines the importance of ‘data normalisation’ in any estimating procedure, and demonstrates that the Estimating by Analogy Method, in essence, is a simple extension of Data Normalisation. The author looks at simple measures of assessing the maturity or health of an estimate, and offers a means of assessing a spreadsheet for any inherent risks or errors that may be introduced by failing to follow good practice in spreadsheet design and build. This book provides a taster of the more numerical techniques covered in the remainder of the series by considering how an estimator can potentially exploit Benford’s Law (traditionally used in Fraud Detection) to identify systematic bias from third party contributors. It will be a valuable resource for estimators, engineers, accountants, project risk specialists as well as students of cost engineering.
Book Synopsis Applications of Networks, Sensors and Autonomous Systems Analytics by : Jyotsna Kumar Mandal
Download or read book Applications of Networks, Sensors and Autonomous Systems Analytics written by Jyotsna Kumar Mandal and published by Springer Nature. This book was released on 2021-11-27 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents high-quality research papers presented at International Conference on Applications of Networks, Sensors and Autonomous Systems Analytics (ICANSAA 2020), held during December, 11 – 12, 2020, at JIS College of Engineering, Kalyani, West Bengal, India. The major topics covered are cyber-physical systems and sensor networks, data analytics and autonomous systems and MEMS and NEMS with applications in biomedical devices. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry.
Book Synopsis Learning, Unlearning and Re-Learning Curves by : Alan R. Jones
Download or read book Learning, Unlearning and Re-Learning Curves written by Alan R. Jones and published by Routledge. This book was released on 2018-09-13 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning, Unlearning and Re-learning Curves (Volume IV of the Working Guides to Estimating & Forecasting series) focuses in on Learning Curves, and the various tried and tested models of Wright, Crawford, DeJong, Towill-Bevis and others. It explores the differences and similarities between the various models and examines the key properties that Estimators and Forecasters can exploit. A discussion about Learning Curve Cost Drivers leads to the consideration of a little used but very powerful technique of Learning Curve modelling called Segmentation, which looks at an organisation’s complex learning curve as the product of multiple shallower learning curves. Perhaps the biggest benefit is that it simplifies the calculations in Microsoft Excel where there is a change in the rate of learning observed or expected. The same technique can be used to model and calibrate discontinuities in the learning process that result in setbacks and uplifts in time or cost. This technique is compared with other, better known techniques such as Anderlohr’s. Equivalent Unit Learning is another, relative new technique that can be used alongside traditional completed unit learning to give an early warning of changes in the rates of learning. Finally, a Learning Curve can be exploited to estimate the penalty of collaborative working across multiple partners. Supported by a wealth of figures and tables, this is a valuable resource for estimators, engineers, accountants, project risk specialists, as well as students of cost engineering.
Book Synopsis Probability, Statistics, and Time by : Maurice Stevenson Bartlett
Download or read book Probability, Statistics, and Time written by Maurice Stevenson Bartlett and published by . This book was released on 1961 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Probability, Statistics, and Time by : Maurice Stevenson Bartlett
Download or read book Probability, Statistics, and Time written by Maurice Stevenson Bartlett and published by Chapman & Hall. This book was released on 1975 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis What are the Chances? by : Rob Colson
Download or read book What are the Chances? written by Rob Colson and published by Children's Press. This book was released on 2017-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "First published by Franklin Watts 2016."
Book Synopsis Probability, Statistics, and Truth by : Richard Von Mises
Download or read book Probability, Statistics, and Truth written by Richard Von Mises and published by . This book was released on 1961 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Probability, Statistics, and Random Signals by : Charles G. Boncelet
Download or read book Probability, Statistics, and Random Signals written by Charles G. Boncelet and published by . This book was released on 2016 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Introduction to Probability, Statistics, and Random Processes by : Hossein Pishro-Nik
Download or read book Introduction to Probability, Statistics, and Random Processes written by Hossein Pishro-Nik and published by . This book was released on 2014-08-15 with total page 746 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers basic concepts such as random experiments, probability axioms, conditional probability, and counting methods, single and multiple random variables (discrete, continuous, and mixed), as well as moment-generating functions, characteristic functions, random vectors, and inequalities; limit theorems and convergence; introduction to Bayesian and classical statistics; random processes including processing of random signals, Poisson processes, discrete-time and continuous-time Markov chains, and Brownian motion; simulation using MATLAB and R.
Book Synopsis Probability Theory For Statistical Methods by : Fn David
Download or read book Probability Theory For Statistical Methods written by Fn David and published by Legare Street Press. This book was released on 2023-07-18 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability Theory for Statistical Methods is a classic textbook on probability theory. It covers basic probability, random variables, and probability distributions, and serves as an essential resource for anyone studying statistics or related fields. A must-read for anyone interested in the mathematics of chance. This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Book Synopsis Introduction to Probability and Statistics by : William Mendenhall
Download or read book Introduction to Probability and Statistics written by William Mendenhall and published by Duxbury Resource Center. This book was released on 1975 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is statistics? Useful mathematical notation; Describing distributions of measurements; Probability; Random variables and probability distributions; The binomial probability distribution; The normal probability distribution; Statistical inference; Inference from small samples; Linear regression and correlation; Analysis of enumerative data; Considerations in designing experiments; The analysis of variance; Nonparametric statistics.
Book Synopsis Probability, Statistics, and Data Analysis by : Oscar Kempthorne
Download or read book Probability, Statistics, and Data Analysis written by Oscar Kempthorne and published by Iowa State Press. This book was released on 1971 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: General background; the nature of real populations; Calculus of probability; Some commonly ocurring mathematical distributions; Distributions of functions of random variables; Distribution of sample statistic; Stachartic processes; General outline of data interpretation problems; Goodness of fit of a completely specified model; Parametric models and likelihood theory; Statistical tests.
Book Synopsis A First Course in Probability by : Sheldon M. Ross
Download or read book A First Course in Probability written by Sheldon M. Ross and published by . This book was released on 1998 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to probability statistics. This book includes a PC diskette that contains six probability models that are referenced in the text. Topics covered include: the odds-ratio; independence as a symmetric relation; and exchangeable random variables.
