
BITS Industrial Statistics SemIV Unit 1 : NA(Methods of least squares, Linear and parabolic trends, Bivariate distribution, Correlation, Rank correlation, Linear regression, Sample space, Random experiments and randjom
variables, Concept of probability, Conditional probnability, Addition and multiplication laws Baya's theorem , Probability distributjion Binomial, Poison and Normal Distributions,
Concept of geometric hypergeometric and exponential distributions, their properties and applicaktions to industrial problems) 




3. Probability, Random Variables, and Probability Distributions(Clinical Nutrition and Dietetics) 
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The foundation of all statistical methodology is probability theory, which progresses from elementary to the most advanced mathematics. Much of the misunderstanding and abuse of statistics comes from the lack of understanding of its probabilistic foundation. When assumptions of the underlying probabilistic (mathematical) model are grossly violated, derived inferential methods will lead to misleadi
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Title: MSc.CND103 Research Methods and Biostatistics




4. Correlation and Regression(Applied Mathematics) 
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In a bivariate distribution we may be interested to find our whether there is any correlation between the two variables under study. For example, if the bivariate distribution represents the height and weight of a group of individuals, then they are related. Correlation analysis is the statistical technique used to describe not only the degree of relationship between the variables but also the dir
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Title: Statistics Random Processes and Queuing Theory




5. Chapter 9 * Statistical Analysis of Data(Physics) 
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Experimental methods are best known scientific methods and are investigated within a controlled setup in a laboratory. Experimental methods are adopted in physical and natural sciences. In social sciences, it is difficult to follow the experimental methods as it is not easy to isolate various forces affecting a phenomenon. So, we have to resort to statistical methods in social and management scie
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Title: A Textbook on Research Methodology
Published on: 27/02/19
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6. Chapter 10 * Error Analysis(Physics) 
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Doing experiments and making measurements give the comprehension of the physical world. An
experiment is essentially an organized set of observations of a device or phenomenon. The observations
may be qualitative or quantitative. Quantitative observations require the use of some kind of measurement system. Such systems vary from the very simple to the very complex. Instrumentation is an expertis
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Title: A Textbook on Research Methodology
Published on: 27/02/19
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7. Statistical Measures(Applied Mathematics) 
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The theory of expectation of a random variable is of considerable importance, since it defines an average, as well as the mean square value and other expected values of a random variable. These expected values often represent important features, characteristics, or attributes of a random variable. One of the most widely known averages is the mean value or expected value.
Title: Probability Theory & Stochastic Processes




8. Additional Themes on Data Mining(Computer Science) 
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At the end of this unit, students will be able to explain audio data mining
and understand the concept of statistical data mining.They will also be able to discuss video data mining.
Title: MSCS516A Data Mining






11. RandomProcesses(Applied Mathematics) 
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Now we are going to study about a family of random variables. A family of random variables indexed by a parameter (like time,) is known as a stochastic process or a random process. We know that the r.v. X, is by definition, a function of the possible outcomes S, of an experiment. Now a random process is a function of both time and S. When time t is fixed, the random process represents the random v
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Title: Statistics Random Processes and Queuing Theory




12. RANDOMNUMBER GENERATION, RANDOMVARIATE GENERATION(Computer Science) 
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Random numbers are a necessary basic ingredient in the simulation of almost all discrete systems. Most computer languages have a subroutine, object, or function that will generate a random number.
Title: System Modeling and Simulation
Published on: 05/10/18
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43








13. Probability(Quantitative Techniques) 
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The term probability is statistics refer to the chance of occurrence of an
event among a large number of possibilities. The chance of occurrence of an event may be absolutely certain. When the probability of an event is absolutely certain,the probability is said to be unity or 1.
Title: MB105 Quantitative Techniques




14. Stochastic Processes(Applied Mathematics) 
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This chapter introduces functions that depend both on the outcome of Ian experiment (or element of sample space) and on time.
Title: Probability Theory & Stochastic Processes




15. Binomial Distribution(Quantitative Techniques) 
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In this unit and the following two units we shall study the univariate
probability distributions.· Binomial and Poisson distribution are discrete probability distributions and the Normal distribution is a continuous probability distribution. In Binomial distribution, there would be dichotomous classification of events.
Title: MB105 Quantitative Techniques




16. The Random Variable(Applied Mathematics) 
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In a random experiment, the outcomes are governed by 'chance' and the sample space S of such a random experiment consists of all outcomes of the experiment. When these outcomes are nonnumeric they can be quantified by assigning a real number to each of them. This assignment rule, known as the random variable (RV) provides a more compact description, power of abstraction and thus allows us to disc
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Title: Probability Theory & Stochastic Processes




17. STATISTICAL MODELS IN SIMULATION(Computer Science) 
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The world the modelbuilder sees is probabilistic rather than deterministic. Some statistical model might well describe the variations.
Title: System Modeling and Simulation
Published on: 05/10/18
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17








18. INPUT MODELING(Computer Science) 
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Input data provide the driving force for a simulation model. In the simulation of a queuing system, typical input data are the distributions of time between arrivals and service times
Title: System Modeling and Simulation
Published on: 05/10/18
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9









20. Chapter 6 * Sampling and Sampling Design(Physics) 
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Sampling is choosing of a part of a group to obtain the information about the whole. Sampling
allows one to concentrate attention upon a relatively smaller number of people or items. The total
of all members is called as population and a selected part, which is used to get the characteristics
of the population is called the sample. The total number of members of the population is called
as pop
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Title: A Textbook on Research Methodology
Published on: 27/02/19
Author:
Publisher:
Pages:
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21. Journal of Network and Computer Applications(Computer Science) 
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With increase in requirement for dynamic execution of user's application in cloud, resource prediction techniques are gaining a lot of importance as the foundation for online capacity planning and virtualized resource management in data centers. There is a wide scope for the development of accurate resource requirement prediction methods to ensure that the virtualized resources do not suffer from
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Title: School of Computing and Information Technology




22. Correlation and Regression(Quantitative Techniques) 
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After reading this unit, students will be able to understand the specific relationship between two or more variables. They will also be able to use scatter disgram, correlation and regressive analysis to visualize and estimate the relationship.
Title: MB105 Quantitative Techniques




23. Introduction(Information Theory and Coding
) 
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Probability theory provides a way to find and express our uncertainty in making decisions about a population from sample information. Probability is a number between 0 and 1. The highest value of any probability is 1. Probability reflects the long  run relative frequency of the outcome. A probability is expressed as a decimal, such as 0.7 or as a fraction, such as 7/10, or as percentage, such as
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Title: Information Theory and Coding




24. Statistical MethodsI Curve Fitting, Correlation and Regression(Engineering Mathematics  IV
) 
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Review of Essential Basic Results, Curve Fitting by the Method of Least Squares, Correlation, Regression Analysis
Title: Engineering Mathematics  IV




25. SECOND YEAR HANDBOOK (Mechanical Engineering) 
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The Hand Book provides you the detailed Syllabus and Exam Pattern of REVA University
Title: MECHANICAL ENGINEERINGHANDBOOK






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