智能傻瓜型管理平台软件――金成通用管理平台（g
=?GB2312?B?b2xkbWlzo6k=?= To: [EMAIL PROTECTED] Content-Type: text/plain; Sender: [EMAIL PROTECTED] Date: Sat, 19 Jan 2002 11:28:06 +0800 X-Priority: 3 X-Library: Caretop Library X-Mailer: Caretop 2604 ÄúºÃ£¡ ÊÔÒ»ÊÔ£¬×Ô¼º¾Í¿ÉÒÔ¹¹½¨ÐÅÏ¢¹ÜÀíϵͳ. ¹ºÖüÆËã»úºóÄúÏë×öʲôÄÄ£¿ÉÏÍø¡¢ÓÎÏ·¡¢»¹ÓУ®£®£®£®£®£® »¹ÓУº Ïë°Ñ×Ô¼ºµÄÒµÎñÓüÆËã»ú¹ÜÀíÆðÀ´È´×Ô¼º²»»á±à³Ì¿ª·¢Èí¼þ Á¢ÏîίÍбðÈË¿ª·¢ÓÖÊÜÖÆÓÚÈË ×¨ÒµÍ¨ÓÃÈí¼þ¿Éά»¤ÐÔ¡¢ÊÊÓ¦ÐԲ²»ÊʺÏ×Ô¼ºÎÞ¿ÉÄκΠÈí¼þµÄÊý¾Ý·ÖÎö¹¦ÄÜÎÞ·¨Âú×ã×Ô¼º¶ÔÊý¾ÝµÄ·ÖÎöÒªÇó Ïë°ÑÐí¶à¹ÜÀíÏîÄ¿¼¯Öе½Ò»¸öƽ̨ÉÏ £®£®£®£®£®£®ÓÐʲôÈí¼þ¿ÉÒÔ½â¾öÕâЩÎÊÌ⣿ ÖÇÄÜɵ¹ÏÐ͹ÜÀíƽ̨£¨mis£©--¡¶½ð³ÉͨÓùÜÀíƽ̨¡·ÊÇÄúµÄÑ¡Ôñ¡£ ¡¶½ð³ÉͨÓùÜÀíƽ̨¡·ÊǹúÄÚ×îÓÅÐãµÄÖÇÄÜɵ¹ÏÐ͹ÜÀíƽ̨£¨mis£©Èí¼þ£¬²úÆ·Ö÷ÒªÌص㣺ÎÞÐè±à³Ì,£¬Ö»Ð趨Òå²ÎÊý¿ìËÙ¹¹½¨ÐÅÏ¢¹ÜÀíϵͳ£»Ö»Ðèµ÷Õû²ÎÊý¿ìËÙά»¤ÐÅÏ¢¹ÜÀíϵͳ£»ÇÒ¾ßÓÐÇ¿´óµÄÊý¾Ý·ÖÎö±¨±íÓ¦Óù¦ÄÜ¡£ Èí¼þÊʺϸ÷Ðи÷Òµ¸÷ÖÖÐÅÏ¢¹ÜÀíϵͳµÄ½¨Á¢¡£ ÏÖ¹«Ë¾°Ñ´ËÈí¼þ¼ÓÃÜ·½Ê½£¬ÓÐÒÔÇ°µÄ¼ÓÃÜËø¸ÄΪע²á·½Ê½£¬ÇÒ´ó·ù½µµÍ×¢²á·Ñ£¨½ö300Ôª£©¡£»¶ÓÄúʹÓùúÄÚ×îºÃµÄMISÈí¼þ¡£ µ±½ñÉç»á£¬ÈÕÐÂÔÂÒ죬¡¶½ð³ÉͨÓùÜÀíƽ̨¡·ÒÔ¿ìËÙÓ¦Ó㬿ìËÙά»¤£¬¹¦ÄÜÇ¿´óΪÑз¢ÀíÄ¶¨ÄÜʹÄúµÄ¼ÆËã»úÓ¦ÓÃˮƽÉÏһ̨½×¡£ »¶ÓºÏ×÷Ó¦Óᢿª·¢»òoemµÈ¡£ ±±¾©¾ýºÌ½ð³É¿Æ¼¼·¢Õ¹ÓÐÏÞ¹«Ë¾ µç»°£º62180002£»62178388 ÏÂÔØ£ºhttp://www.junhesoft.com/soft/goldmis-login.zip http://www.junhesoft.com/html/xiazai.htm ÍøÖ·£ºhttp://www.junhesoft.com E-MAIL£º[EMAIL PROTECTED] = Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at http://jse.stat.ncsu.edu/ =
Solutions to Casella, G. - Berger, R. L., "Statistical Inference"
Does anyone know where to find solutions to Casella, G. - Berger, R. L., "Statistical Inference"? Maybe a Student's Solutions Manual, or if someone has published something on the net? Thanks. = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =
Re: (G)ARCH models and MS Excel
One more site that may help: http://www.egss.ulg.ac.be/garch/garchcore.htm "Chow, Ying-Foon" <[EMAIL PROTECTED]> wrote in message [EMAIL PROTECTED]">news:[EMAIL PROTECTED]... > Does anyone have experience in doing ARCH or GARCH models in MS Excel? > Any pointers or examples are appreciated. > > Regards, > -- > Ying-Foon Chow > Department of Finance Tel: (+852) 2609 7638 > The Chinese University of Hong KongFax: (+852) 2603 6586 > Shatin, New Territories, Hong Kong Email: [EMAIL PROTECTED] > > = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =
Re: (G)ARCH models and MS Excel
These websites sells an addin that generates ARCH models in excel: http://www.numa.com/bookshop/books/7201.htm http://www.moneyextra.com/bookclub/books/7201.htm This looks like someones college project, that he used ARCH models you can download his excel file here: http://faculty.fuqua.duke.edu/~charvey/Teaching/BA453_1999/Global/excelprog. htm I didnt have any luck finding a free addin, did you try any of the functions to the analysis tookpak addin? "Chow, Ying-Foon" <[EMAIL PROTECTED]> wrote in message [EMAIL PROTECTED]">news:[EMAIL PROTECTED]... > Does anyone have experience in doing ARCH or GARCH models in MS Excel? > Any pointers or examples are appreciated. > > Regards, > -- > Ying-Foon Chow > Department of Finance Tel: (+852) 2609 7638 > The Chinese University of Hong KongFax: (+852) 2603 6586 > Shatin, New Territories, Hong Kong Email: [EMAIL PROTECTED] > > = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =
(G)ARCH models and MS Excel
Does anyone have experience in doing ARCH or GARCH models in MS Excel? Any pointers or examples are appreciated. Regards, -- Ying-Foon Chow Department of Finance Tel: (+852) 2609 7638 The Chinese University of Hong KongFax: (+852) 2603 6586 Shatin, New Territories, Hong Kong Email: [EMAIL PROTECTED] = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =
Math Books for HP 49 G
I'm proud to announce the publication of the following books: Science and Engineering Mathematics with the HP 49 G - Volumes 1 and 2 Check them out at: http://www.greatunpublished.com/Authors/Gilberto_Urroz.htm Let's face it: the HP 49 G documentation is awful. You've got a palm-sized mini-computer and yet the documentation provided by HP teaches you only how to use your HP 49 G as a glorified pocket calculator. If you want to really exploit all the mathematical, graphical, statistical and programming capabilities of the HP 49 G you need these books. My books teach you how to use your calculator in your math, programming, and graphical applications including: 1 - complete description of keyboard functions 2 - operations with real and complex numbers 3 - operations with lists and programs 4 - programming in User RPL 5 - algebraic operations, simplifications, fractions, polynomials, modular arithmetic 6 - vector applications: dot and cross products, vector decomposition 7 - matrices, linear algebra, matrix decomposition, eigenvalue problems 8 - graphics: interactive and programming applications, 2D and 3D graphs 9 - solution to equations: single equations, system of equations, graphical solutions, solutions using the MES 10 - calculus: limits, derivatives, summations, integrals (both symbolic and numerical calculations), power series, applications in engineering and science 11 - multivariate calculus: partial derivatives, total differentials, integration of exact differentials, extreme values, applications to functions of a complex variable, multiple integration 11b - vector calculus: derivatives and integrals, gradient, divergence, curl, differential geometry, line integrals, surfaces, surface integrals, integral theorems 12 - ordinary differential equations: classification, catalog of solutions, linear ODEs, Laplace transforms, Fourier series, non-linear ODEs, generalized functions: Dirac's delta and Heaviside's step functions, applications to linear and non-linear mechanics, Bessel functions, Chebyshev polynomials, etc. 13 - partial differential equations: classification, solution to elliptic equations (a variety of solutions provided), Fourier transforms, orthogonal functions 14 - Random numbers, random variables (discrete and continuous), Binomial, Poisson, hypergeometric, normal, log-normal, Weibull, gamma, and beta probability distributions. Standard normal, Student's t, Chi-square and F distributions. Operations with discrete and continuous probability distributions. 15 - Statistical applications: sample statistics, linear (and linearized) regression, confidence intervals, hypothesis testing on the mean and variance, hypothesis testing in linear regression, multiple linear regression, polynomial regression = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =
Re: g-study with heterogenous items
On Wed, 05 Jul 2000 16:30:44 +0200, Martin Brunner <[EMAIL PROTECTED]> wrote: > I reviewed articles using structural equation modeling. To estimate the > rater bias each article was read by another rater. The items were > closely linked to questions used in the relevant literature. > > My original plan was to conduct a g-study to estimate the > inter-rater-reliability. > > My facets are: > > - Rater: R with 2 levels > - Items: I with 21 levels; the items are dichotomous. > - Articles: A with 43 levels. > > The design was fully crossed without missing data. > I used the program GT by Pierre Ysewijn. > > My problem is that the items cover very different topics and not a > homogenous dimension. Thus I cannot form scales as my items are somewhat > independent of each other. I searched for g-study on Google and came up with just a couple of relevant hits. That category, g-study, is not as widely known as you expect. "Generalizability"? I think you have been overly impressed by some rhetoric. If you don't have a dimension or two, why were you collecting data? Do you really think you have 21 interesting and useful hypotheses? - the alternative is that, indeed, you do have "dimensions." "Somewhat independent" is not bad -- what size are the correlations? I don't trust correlations of .20 because I expect Response Bias to be almost that big. But with dichotomies, intercorrelations of .45 may be pretty big ones, for subjective judgements. (Especially, if you want a short scale, perhaps you should re-design in order to use items with 4 or 5 scale points. Was there a reason to accept the disadvantage of lower inherent item reliability by using dichotomies?) Item by item, there are not a lot of comparisons available: You can look at McNemar's test for differences, and some measure of correlation (phi is a Pearson's r; kappa is popular). With only 43 ratings, there is not a lot of power, so you should report and be wary of tendencies that are less "significant." On the other hand, since there are 21 comparisons, you should not be overly impressed by single differences, either. For the totals that you should create, you can similarly look at the paired t-test for differences, and look at Pearson's r for the similarity. For a set, you should look at the average correlation and report that, or the (Cronbach's) alpha. > I would like to generalize over raters and find an answer to the > question: > To what degree are the ratings on the items independent of the rater? > Are the raters interchangeable? > > Thus could anybody tell me please what the appropriate term for the > "reliability" estimate is? Which terms have to be in the nominator and > wich terms in the denominator. Hope this helps. -- Rich Ulrich, [EMAIL PROTECTED] http://www.pitt.edu/~wpilib/index.html = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =
g-study with heterogenous items
Dear listers, I reviewed articles using structural equation modeling. To estimate the rater bias each article was read by another rater. The items were closely linked to questions used in the relevant literature. My original plan was to conduct a g-study to estimate the inter-rater-reliability. My facets are: - Rater: R with 2 levels - Items: I with 21 levels; the items are dichotomous. - Articles: A with 43 levels. The design was fully crossed without missing data. I used the program GT by Pierre Ysewijn. My problem is that the items cover very different topics and not a homogenous dimension. Thus I cannot form scales as my items are somewhat independent of each other. I would like to generalize over raters and find an answer to the question: To what degree are the ratings on the items independent of the rater? Are the raters interchangeable? Thus could anybody tell me please what the appropriate term for the "reliability" estimate is? Which terms have to be in the nominator and wich terms in the denominator. Any help is highly appreciated. Martin Brunner. === This list is open to everyone. Occasionally, less thoughtful people send inappropriate messages. Please DO NOT COMPLAIN TO THE POSTMASTER about these messages because the postmaster has no way of controlling them, and excessive complaints will result in termination of the list. For information about this list, including information about the problem of inappropriate messages and information about how to unsubscribe, please see the web page at http://jse.stat.ncsu.edu/ ===
