Now someone has tried it, and it worked — really, really well. Researchers made changes to homework assignments in an upper-level undergraduate engineering course at Rice University, adding these features:. Repeated retrieval practice: In addition to receiving the standard homework assignment, students were given follow-up problems on the same topic in two additional assignments that counted only toward their course participation grade. Feedback : Rather than waiting one week to learn how they did, students received immediate feedback on intervention homework, and they were required to view the feedback to get credit for the assignment.
The website ScienceDaily quotes the instructor of the engineering course, who was also one of the co-authors of the study:. I think we should be, and as the authors of this study point out, technology may make that easier to do.
Read more at her blogwhere this post first appeared. Contact us at editors time. Opinion Education Designing Smarter Homework. By Annie Murphy Paul. Researchers made changes to homework assignments in an upper-level undergraduate engineering course at Rice University, adding these features: Repeated retrieval practice: In addition to receiving the standard homework assignment, students were given follow-up problems on the same topic in two additional assignments that counted only toward their course participation grade.
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Acceptance sampling plan for truncated life test having generalized Pareto distribution
Click the link to confirm your subscription and begin receiving our newsletters. If you don't get the confirmation within 10 minutes, please check your spam folder. Related Stories. Be Informed. Be United. Sign Up for Newsletters Sign up to receive the top stories you need to know now on politics, health and more.This paper addresses the problem of double and group acceptance sampling plans for an inverse Weibull distribution based on truncated life test.
We consider quality parameter of the test units based on median lifetime and obtain the design parameters such as sample size and acceptance number. We present a simulation study to support the proposed methods and a comparison between single and double acceptance sampling plans is made. A real data set is also analyzed to illustrate the implementation of the proposed sampling plans.
Further, the situation under which the proposed samplings plans can also be used for other percentiles points is discussed. Finally a conclusion is presented. This is a preview of subscription content, log in to check access. Rent this article via DeepDyve. J Appl Stat 36 9 — Aslam M, Jun CH b A group acceptance sampling plans for truncated life tests based on the inverse Rayleigh and log-logistic distributions.Slogoman minecraft server ip address
Pak J Stat 25 2 — Aslam M, Jun CH A double acceptance sampling plans for generalized log-logistic distribution with known shape parameter. J Appl Stat 37 3 — J Appl Stat 37 4 — J Stat Comput Simul 81 4 — Commun Stat Simul Comput — Commun Stat Theory Methods — Erto P Genesis properties and identification of the inverse Weibull lifetime model.
Stat Appl — Google Scholar. Erto P, Rapone M Non-informative and practical Bayesian confidence bounds for reliable life in the Weibull model. Reliab Eng — In: Third international conference on reliability and maintainability, 18—21 Oct, Toulse, France. J Stat Comput Simul.
Comput Stat Data Anal — Lawless J Statistical models and methods for lifetime data. Wiley, New York. Nelson W Applied life data analysis. In: 46th scientific meeting of the Italian Statistical Society.
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Ind Eng Manag Syst 14 2 — Stat Papers 1— J Appl Stat 33 6 — Download references. Authors thank the Editor, associate Editor and two anonymous referees for their encouraging suggestions that have led to substantial improvement in the content and the presentation of this manuscript.
Correspondence to Sukhdev Singh. Reprints and Permissions. Singh, S.Register and Participate in Oracle's online communities.
Electronic Journal of Applied Statistical Analysis
This content has been marked as final. Show 19 replies. But before that, design and architect as much as possible without getting hung up on it.How to run klist purge command
Of course as you start out in java you may find yourself re-designing your programs alot as you find out more about the classes available. I have built a date entry field with a button that pops up a calendar. I spent about 1 month working on it off and on.Barrow water cooling
In total I have spent about 60 hrs designing and coding. Most of that time was reading how to use different classes and writting small test programs to test out ideas. With most of the time being spent on testing and refining the design. For me, I spent most of my project time understanding the requirements and looking for ideas on how to best implement the project. I do a lot more studying the different styles of doing a similar program on the Net. Only when I'm comfortable with what I am going to do to implement the project, the coding won't pose much of a problem but that doesn't mean no problem.
Some people swear by drawing vaguely boxed-shape figures on a whiteboard with a bunch of arrows Hmmm, I get the feeling that every project really is vastly different. I was speaking to a Java Architect who was working on a Time and Expenses web application.Dasan co login
He spent 6 weeks designing and coding it, then he brought in another 2 architects with testing experience and they spent 4 months testing and refactoring.
I guess that because it was a global application with a lot of users there was a lot of testing to do. Hmm, I smell a rat. Did these two extra guys happen to work for the smae consultancy as the first and were they, ahem, getting paid by the hour, at all?
Haha, actually I think it was legit. The two guys were found through interviews through separate agencies. The first guy was himself an independent consultant. I work for a consultancy firm myself so I am trained to spot these things : - You are right though if you have a specialised technical knowledge that no ones understands its easy to confuse the client with jargon and rake in the extra dollars Thats why I'm studying java.In this study, repetitive acceptance sampling plan for truncated life test is developed for that situations in which the lifetime of the product follows the generalized Pareto distribution.Solar deck lights menards
The mean lifetime of the test unit is taken as the quality parameter. Single acceptance plan is also developed for the given distribution and compared with the proposed plan in terms of the sample size required to make a decision.
The proposed plan requires less sample size than the single acceptance plan. Numerical cases are presented to exemplify the applications of acceptance sampling plans. This is a preview of subscription content, log in to check access. Rent this article via DeepDyve. Interstat Electron J —6. Google Scholar. Baklizi A Acceptance sampling based on truncated life tests in the Pareto distribution of the second kind.
Adv Appl Stat 3 1 — Balamurali S, Chi-hyuck J Repetitive group sampling procedure for variables inspection. J Appl Stat 33 3 — Technometrics — Epstein B Truncated life tests in the exponential case. Ann Math Stat 25 3 — In: proceeding of the 7th national symposium on reliability and quality control, Philadelphia, pp 24— Mughal AR, Ismail M An economic reliability efficient group acceptance sampling plan for family Pareto distributions.
Mughal AR, Zain Z, Aziz N Research article group acceptance sampling plan for re-submitted lots under generalized pareto distribution. J Appl Stat 37 4 — Sci Iran 19 3 — Rouge et Cie, Paris.
J Korean Inst Ind Eng 30 3 — Priyah A, Ramaswamy ARS A conditional repetitive group sampling plan for truncated life tests using different lifetime distributions. Glob J Adv Res 2 1 — Econ Qual Control 20 2 —In this paper, we have proposed a multiple deferred state sampling plan for a time-truncated life test when the lifetime follows the Weibull distribution. The proposed sampling plan assures the percentile life of the products. An illustrative example is also provided for describing the implementation of the proposed plan.
Finally, we have investigated economic aspect of designing of the proposed plan under Weibull distribution. This is a preview of subscription content, log in to check access.
Rent this article via DeepDyve. Al-Omari AI Acceptance sampling plan based on truncated life tests for three parameter kappa distribution. Econ Qual Contr 29 1 — J Appl Stat 36 9 — Ind Eng Manag Syst 11 4 — Google Scholar. Int J Adv Manuf Technol — Qual Eng 25 3 — Scientia Iranica E 19 3 — Int J Adv Manuf Technol 71 5 — Balamurali S, Jun C-H Multiple dependent state sampling plans for lot acceptance based on measurement data.
Eur J Oper Res 3 — Am J Math Manag Sci 35 1 — J Qual Maint Eng 12 4 — Dodge HF Chain sampling inspection plan. Ind Qual Contr 11 4 — Dodge HF Notes on the evolution of acceptance sampling plans—part I. J Qual Technol 1 2 — Govindaraju K, Subramani K Selection of multiple deferred dependent state sampling plans for given acceptable quality level and limiting quality level.
J Appl Stat 20 3 — Gui W Acceptance sampling plans under truncated life tests assuming a half exponential power life distribution. Econ Qual Contr 28 2 —Sudamani Ramasamy 1R. Sutharani 2. NIndia.
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Correspondence to: R. All Rights Reserved. In this paper double sampling plans for truncated life tests are developed using minimum angle method when the lifetimes of the items follows Rayleigh distribution.Data-Driven Control: Balanced Truncation
Tables are constructed and examples are provided. By applying Minimum angle method for Designing Double Acceptance Sampling Plans under Reliegh Distribution it is found to be more economic in saving cost, energy and time.
It also minimizes the consumers and producers risk simultaneously. Cite this paper: A. Sudamani Ramasamy, R. Article Outline 1. Introduction 2. Operating Procedure for Double Sampling Plan 3. Double Sampling Plans in Life Tests 4. Operating Characteristics Function 5.
Minimum Angle Method 6. Introduction Acceptance sampling procedures play an important role in improving the quality.
The basic aim of all companies in this world is to improve the quality of their products. The high quality product has the high probability of acceptance. In a time- truncated sampling plan, a random sample is selected from a lot of products and put on the test where the number of failures is recorded until the pre — specified time. If the number of failures observed is not greater than the specified acceptance number, then the lot will be accepted.
Two risks are always attached to an acceptance sampling. An acceptance sampling plan should be designed so that both risks are smaller than the required values.
These life tests are discussed by many authors Goode and Kao Srinivasa Rao have designed double acceptance sampling plan based on truncated life tests for the Marshall — Olkin extended exponential distribution. The intent of this paper is to design double sampling plans for truncated life tests using minimum angle method, when life times of the items follows Rayleigh distribution.
It is known that the double acceptance sampling plan DASP is more efficient than the single sampling plan in terms of the sample size required. Operating Procedure for Double Sampling Plan 1 From a lot, take a first sample of size n 1 and observe the number of nonconforming units, d 1.
If c 1 1 2 take a second sample of size n 2 and observe the number of nonconforming units, d 2. Thus the double sampling plan is characterized by the parameters n 1n 2c 1c 2and designated as DASP — n 1n 2c 1c 2. Double Sampling Plans in Life Tests We propose the following Double sampling plan procedure based on a truncated life test: 1. Draw the first sample of size n 1 and put them on test during time t 0 2. Accept the lot if there are no more than c 1 failures. Reject the lot and terminate the test if there are more than c 2 failures.Essential oil spray bottle recipe
If the number of failures is between c 1 and c 2then draw the second sample of size n 2 and put them on test during time t 0. Accept the lot if the total number of failures not more than c 2 during the time t 0.
The DASP is composed of four parameters of n 1n 2c 1c 2 if t 0 is specified.Because useful output is essential to ensuring the use and acceptance of the information system, there are six objectives that the systems analyst tries to attain when designing output:.
All output should have a purpose. During the information requirements determination phase of analysis, the systems analyst finds out what user and organizational purposes exist. Output is then designed based on those purposes. You will have numerous opportunities to supply output simply because the application permits you to do so. Remember the rule of purposiveness, however. If the output is not functional, it should not be created, because there are costs of time and materials associated with all output from the system.
With a large information system serving many users for many different purposes, it is often difficult to personalize output. On the basis of interviews, observations, cost considerations, and perhaps prototypes, it will be possible to design output that addresses what many, if not all, users need and prefer.
Generally speaking, it is more practical to create user-specific or user-customizable output when designing for a decision support system or other highly interactive applications such as those using the Web as a platform. Part of the task of designing output is deciding what quantity of output is correct for users.
A useful heuristic is that the system must provide what each person needs to complete his or her work. This answer is still far from a total solution, because it may be appropriate to display a subset of that information at first and then provide a way for the user to access additional information easily. No one is served if excess information is given only to flaunt the capabilities of the system.
Always keep the decision makers in mind. Often they will not need great amounts of output, especially if there is an easy way to access more via a hyperlink or drill-down capability. Output is often produced at one location and then distributed to the user. The increase in online, screen-displayed output that is personally accessible has cut down somewhat on the problem of distribution, but appropriate distribution is still an important objective for the systems analyst.
To be used and useful, output must be presented to the right user. No matter how well designed reports are, if they are not seen by the pertinent decision makers, they have no value. One of the most common complaints of users is that they do not receive information in time to make necessary decisions. Many reports are required on a daily basis, some only monthly, others annually, and others only by exception.
Using well-publicized, Web-based output can alleviate some problems with the timing of output distribution as well. Accurate timing of output can be critical to business operations. Choosing the right output method for each user is another objective in designing output.
Much output now appears on display screens, and users have the option of printing it out with their own printer. The analyst needs to recognize the trade-offs involved in choosing an output method. Costs differ; for the user, there are also differences in the accessibility, flexibility, durability, distribution, storage and retrieval possibilities, transportability, and overall impact of the data.
The choice of output methods is not trivial, nor is it usually a foregone conclusion. Skip to main content Skip to primary sidebar Skip to secondary sidebar. Because useful output is essential to ensuring the use and acceptance of the information system, there are six objectives that the systems analyst tries to attain when designing output: Designing output to serve the intended purpose.
Designing output to fit the user. Delivering the appropriate quantity of output. Making sure the output is where it is needed. Providing the output on time. Choosing the right output method. Designing Output to Fit the User With a large information system serving many users for many different purposes, it is often difficult to personalize output.
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