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Minnesota - ME - 4232
Fully adjustable needle valveFunctional Group: Products : Cartridges : Flow Control : 2 Port : Fully Adjustable Needle ValveCapacity: .19 in. (4,8 mm) Model: NFCC-KDNProduct Description Needle valves are fully adjustable orifices used to regulat
Minnesota - IE - 5531
Example 3: Tableau Company The Tableau Company produces two kinds of tables (products 1 and 2). For each unit of product 1, 1 large top slab and 4 legs of standard size are required. For each unit of product 2, 1 small top slab and 4 legs of standard
Minnesota - STAT - 5101
Stat 5101 (Geyer) Fall 2008 Homework Assignment 10 Due Wednesday, November 26, 2008Solve each problem. Explain your reasoning. No credit for answers with no explanation. If the problem is a proof, then you need words as well as formulas. Explain why
Minnesota - STAT - 5101
Stat 5101 (Geyer) Fall 2008 Homework Assignment 6 Due Wednesday, October 22, 2008Solve each problem. Explain your reasoning. No credit for answers with no explanation. If the problem is a proof, then you need words as well as formulas. Explain why y
Minnesota - STAT - 5101
Stat 5101 (Geyer) Fall 2008 Homework Assignment 4 Due Wednesday, October 1, 2008Solve each problem. Explain your reasoning. No credit for answers with no explanation. If the problem is a proof, then you need words as well as formulas. Explain why yo
Minnesota - STAT - 5102
Stat 5102 (Geyer) Spring 2009 Homework Assignment 2 Due Wednesday, February 4, 2009Solve each problem. Explain your reasoning. No credit for answers with no explanation. If the problem is a proof, then you need words as well as formulas. Explain why
Minnesota - STAT - 5102
Stat 5102 (Geyer) Spring 2009 Homework Assignment 3 Due Wednesday, February 11, 2009Solve each problem. Explain your reasoning. No credit for answers with no explanation. If the problem is a proof, then you need words as well as formulas. Explain wh
Minnesota - STAT - 5102
Stat 5102 (Geyer) Spring 2009 Homework Assignment 1 Due Wednesday, January 28, 2009Solve each problem. Explain your reasoning. No credit for answers with no explanation. If the problem is a proof, then you need words as well as formulas. Explain why
Minnesota - HW - 8931
Stat 8931, Fall 2005 Homework 2 Due Oct 5, 2005Q1 Do a Gibbs sampler for the problem described in Section 10.6 (or whatever the "Examples" subsection of "The Gibbs Update" section has turned into) of the lecture notes. The likelihood is a function
Minnesota - STAT - 8931
Stat 8931 Fall 2005 Class Notes c 2005 Charles J. Geyer Some Markov Chain Theory Version of October 28, 2005 Contents1 Applied Measure Theory 2 Conditional Probability and Kernels 3 General Markov Chains 4 Kernel Operations 4.1 Left Multiplication b
Minnesota - STAT - 8931
MCMC Package Example (Version 0.5-1)Charles J. Geyer September 16, 20051The ProblemThis is an example of using the mcmc package in R. The problem comes from a take-home question on a (take-home) PhD qualifying exam (School of Statistics, Unive
Minnesota - STAT - 8931
Stat 8931, Fall 2005 Homework 1 Due Sep 23, 2005Q1 Calculate for the example problem in the mcmc package vignette (that we went over in class) using MCMC the posterior mean and standard deviation of the quantity logit-1 (0 + 1 x1 + + 4 x4 ) wher
Minnesota - STAT - 8931
Stat 8931, Fall 2005 Homework 2 Due Oct 5, 2005Q1 Do a Gibbs sampler for the problem described in Section 10.6 (or whatever the Examples subsection of The Gibbs Update section has turned into) of the lecture notes. The likelihood is a function of t
Minnesota - STAT - 8931
Stat 8931 Fall 2005 Class Notes c 2005 Charles J. Geyer Some More Markov Chain Theory Version of November 16, 2005 Contents1 Markov Transition Matrices 1.1 Eigenvectors Associated with Eigenvalue 1.1.1 Right Eigenvectors . . . . . . . . 1.1.2 Left E
Minnesota - HW - 8931
Stat 8931, Fall 2005 Homework 5 Hint Homework Problem 5 Hint A much more complicated problem from which some techniques for this problem can be stolen was solved by Hobert, J. P. and Geyer, C. J. (1998). Geometric ergodicity of Gibbs and block Gibbs
Minnesota - HW - 8931
Stat 8931 Flu Homework Solution, Part 1Charles J. Geyer October 26, 20051SetupFirst we load the library.> library(mcmc) Then we load the data, copied from Table 1 in Coull and Agresti (2000). > > > > > > data <- read.table("flu.txt", header =
Minnesota - HW - 8931
Stat 8931 Spin Glass Homework Solution, Part 1Charles J. Geyer December 14, 20051SetupRead betas.> > + + + > > >foo <- try(scan("betas.txt") if (inherits(foo, "try-error") { write(c(br, bd), file = "betas.txt") foo <- scan("betas.txt") } n
Minnesota - MATH - 2374
1. Suppose I give you the linear transformationsS(x, y) = (x + y, y, 2x y) T (x, y) = (x + y, 2x 3y) (a) Write both S and T in matrix form.(b) Compute S T .(c) Compute T S.(d) Compute T 1 .(e) Compute T T 1 and T 1 T . Try and explain
Minnesota - MATH - 2374
1. Let c(t) be the parametric equations given by cos(2t) sin(2t) c(t) = t Parameterize the line tangent to the path at time t = 0.2. Find the derivative of g f at the point (0, 1, 0) where g(x, y) = (x3 y, y) f (x, y, z) = (4x + y + z 3 , xy) (
Minnesota - MATH - 2374
1. Find both rst-order partial derivatives of f (x, y) = e3y sin(x) xy 2 ln(3x)g(x, y) =2. Now nd the four second order partial derivatives of f (x, y) and g(x, y).3. A function f (x, y) is harmonic if it satises the Laplace equation: Show that
Minnesota - MATH - 2374
Let S denote the closed cylinder with bottom given by z = 0 and top given by z = 4 and the lateral surface given by x2 + y 2 = 9. Orient S without outward normals. Determine the Surface Integral ydSS1. Is this a vector or a scalar surface integral
Minnesota - MATH - 2283
Quiz 3 Math 2283 TA: Edman February 14, 2008NAME:1. Find an example of a sequence (sn ) for which each term sn is irrational, but lim sn is rational. No proof is required.2. Correct at least two of the errors in the following proof of that limi
Minnesota - TFALL - 2004
HOMEWORK 7 SOLUTIONS The Way of Analysis p. 163: 1.) Suppose f, g are diff. on (a, b) and g(a) = g(b). Show there exists x0 between a and b with f (b) - f (a) f (x0 ) = . g(b) - g(a) g (x0 ) Following the hint, we define, h(x) = (f (b) - f (a) g(x) -
Minnesota - MATH - 4707
Math 4707Introduction to Combinatorics and Graph Theory Homework 2 SolutionsFall 2006Exercises: 6.5.2 Which graphs have Euler circuits? (a) does not, because it is not connected. (b) has Euler circuit a-c-b-f-h-i-l-j-k-g-e-d-c-f-i-j-g-d-a, for
Minnesota - MATH - 5707
TournamentsDrew Armstrong armstron@math.umn.edu September 29, 2006Suppose we have a collection of n commercial products or n sports teams and we want to compare them to determine which is the strongest? or which is the weakest?. Ideally, we would l
Minnesota - STAT - 8102
Stat8102 HW #4 (Due 02/18/09)Problem 1. Suppose that the random variables Y1 , . . . , Yn satisfy Yi = 1 + 2 xi + i , where x1 , . . . , xn are fixed constants, and sufficient statistic for = (1 , 2 , 2 ) . i = 1, . . . , n, are iid n(0, 2 ), 2
Minnesota - STAT - 8102
Stat8102 HW #2 (Due 02/04/09)Problem 1 Suppose that the random variables Y1 , . . . , Yn satisfy Yi = xi + i , where x1 , . . . , xn are fixed constants, and i = 1, . . . , n, are iid n(0, 2 ), 2 unknown.1, . . . , n(a) Find the MLE of and s
Minnesota - STAT - 8111
Final Exam Statistics 8111 Fall 2007 Name: SID:1. Consider the measurable space (, A) where = {1 , 2 , 3 , 4 } and A = {, , {1 , 2 }, {3 , 4 } . Give an example of a function f : which is not A-measurable but such that the composite function
Minnesota - STAT - 8701
Homework 4 STAT 8701 Spring 2007 G ENERAL I NSTRUCTIONS: As usual use Sweave to document your code and report your results. 1. Suppose X Gamma(3/2, 1). Let =E 1 (X + 1) log(X + 3) .(a) Let q(y) = pf1 (y) + (1 p)f2 (y) where 0 < p < 1, f1 is the
Minnesota - CSCI - 4011
SET THEORY 101INHERENT LIMITATIONS OF COMPUTER PROGRAMSCSci 4011A function f : A B is: 1-1 (or injective) if f(x)=f(y) x=y onto (or surjective) if y x: y = f(x) bijective if it is 1-1 and onto. f can help us count. If f is: 1-1 then |A| |B|
Minnesota - CSCI - 5471
Modern Cryptography Lecture 1Yongdae KimWhos who?2Some movies :-)3IntroductionClass Information Title:Modern Cryptography Course Number: CSci 5471 Lectures: MW 2:30 PM - 3:45 PM, EE/CSci 3-111Has been experimental and challengin
Minnesota - CSCI - 5271
CSci 5271: Introduction to Computer SecurityExercise 23 due: December 10, 2007 Ground Rules. You may choose to complete this problem with a partner or by yourself. If you work with a partner, turn in one copy with both of your names on it. You may c
Minnesota - CSCI - 5271
CSci 5271: Introduction to Computer SecurityExercise 22 due: December 10, 2007 Ground Rules. You may choose to complete this problem with a partner or by yourself. If you work with a partner, turn in one copy with both of your names on it. You may c
Minnesota - CSCI - 5271
CONTROL HIJACKING(or, Why to Avoid C Like the Plague)INTRODUCTION TO COMPUTER SECURITYCSCI 5271A control hijacking attack injects new code into a running process.There are many ways to hijack a C program.Most common is the buffer overflow:
Minnesota - CSCI - 4011
QUIZ 2INHERENT LIMITATIONS OF COMPUTER PROGAMSCSci 4011Under G = (V,R,S) we say that a b if: a = uVy and b = uvy and (V v) R. A CFG is ambiguous if: it can derive some string s in two ways. The regular pumping lemma says that. if w L and |w|
U. Memphis - PSYC - 7701
Movement Fig 1Fig 2MOTOR SYSTEMS - Evolutionary ConsiderationsPrimitive Aquatic Invertebrates - whole body movements (e.g. protozoa, hydrozoan jellyfish) Primitive Aquatic Vertebrates - whole and partial body movements (e.g. fish) Primitive Amph
U. Memphis - PSYC - 7701
Fig. 1 Lec 5Fig. 2Fig. 3Fig. 4Fig. 5Fig. 6Fig. 7Fig. 8Fig. 9Fig. 10Fig. 11Fig. 12Fig. 13Fig. 14Fig. 15Fig. 16Fig. 17. Fig. 18Fig. 19Fig. 20Fig. 21Fig. 22Fig. 23
U. Memphis - CE - 7137
1Documentation for the 2002 Update of the National Seismic Hazard Mapsby Arthur D. Frankel1, Mark D. Petersen1, Charles S. Mueller1, Kathleen M. Haller1, Russell L. Wheeler1, E.V. Leyendecker1, Robert L. Wesson1, Stephen C. Harmsen1, Chris H. Cra
U. Memphis - CE - 1112
Whitney Rectangular Stress Distribution The computation of flexural strength Mn based on the approximately parabolic stress distribution shown in Figure 1 may be done using given values of k2/(k1k3). However, it is desirable to have a simple method i
U. Memphis - CE - 1112
CIVL 1112Excel LOOKUP Functions1/4Excel Lookup Functions Lookup-type functions can return particular information from a series of a table of data The two most common lookup functions are:Excel Lookup Functions The VLOOKUP function moves ve
U. Memphis - CE - 1112
CIVL 1112Water Treatment - Aeration and Disinfection1/6Treatment ProcessesScreeningCoarse bar racks and fine traveling racks are employed at intake structure, on reservoirs and rivers. Coarse bar screen racks usually have clear spaces up to
U. Memphis - CE - 1112
CIVL 1112Excel IF Function1/3Excel IF Function The logical functions in Excel are a small group consisting of six functions These functions are noted for their blackor-white results A logical function can return only one of two values: TRUE
U. Memphis - CE - 1112
CIVL 1112Water Treatment - Sedimentation Group Problem1/1Sedimentation ExampleGroup ProblemEstimate the settling velocity of of the floc particles that have an estimated density and size of:Pp = 1,050 kg/m3 d = 0.1 mmSedimentation Example
U. Memphis - CE - 1112
CIVL 1112Excel - Goal Seek1/2Excel Goal Seek Function When you use the Goal Seek command, Excel changes the value in one cell until the value in a second cell reaches a number that you desire To use Goal Seek, go to the Tools command If Goal
U. Memphis - CE - 1112
CIVL 1112 Civil Engineering Analysis Detention Pond Project Report Spring 2008Section Introduction Topic Background ObjectivesName:Check Project scenario Why is a pond important? At least 100,000 gallon Balanced cut-and-fill cost Low total proje
U. Memphis - CE - 1112
CIVL 1112ACI Mix Design - Group Problem 21/3ACI Mix Design ExampleThe 28-day compressive strength should be 7,000 lb/in2. The slump should be between 3 and 4 in. and the maximum aggregate size should not exceed in. The properties of the mater
U. Memphis - CE - 1112
CIVL 1112Detention Pond - Part 11/9Detention Ponds A detention basin is an artificial flow control structure that is used to contain flood water for a limited period of a time. Detention basins are best management practices (BMPs) used to mit
U. Memphis - CE - 1112
CIVL 1112Reinforced Concrete Beam - Project Description1/4Reinforced Concrete Beam ProjectEntry to the Herff College of Engineering 2008 Reinforced Concrete Competition requires: The competition is sponsored by:Dr. Shahram Pezeshk, Chair Depa
Minnesota - MEAS - 08
MeasuringAgreementTheDifferencebetweenAgreementandReliabilityPerfectReliability0%Agreement rater1rater2 [1,]21 [2,]43 [3,]21 [3,] 2 1 [4,]21 [5,]43 [6,]32 [7,]32 [7 ] 3 2 [8,]32 [9,]21 [ ] [10,]32Rater2Rater1+a c a+c a+b c+d d N+ b d b
Minnesota - MEAS - 08
What Are Degrees of Freedom? I. J. Good The American Statistician, Vol. 27, No. 5. (Dec., 1973), pp. 227-228.Stable URL: http:/links.jstor.org/sici?sici=0003-1305%28197312%2927%3A5%3C227%3AWADOF%3E2.0.CO%3B2-8 The American Statistician is currently
Minnesota - MEAS - 08
Origin of the Scaling Constant d = 1.7 in Item Response Theory Gregory Camilli Journal of Educational and Behavioral Statistics, Vol. 19, No. 3. (Autumn, 1994), pp. 293-295.Stable URL: http:/links.jstor.org/sici?sici=1076-9986%28199423%2919%3A3%3C29
Minnesota - MULT - 09
Brief Syllabus for Applied Multivariate Analysis of Psychological DataA more complete electronic syllabus with class lecture notes, computer resources, and homework assignments can be accessed at: http:/www.psych.umn.edu/ faculty/waller/classes/mult
Minnesota - MEAS - 07
Applied & Preventive Psychology 11 (2004) 8386CommentaryThe fallacy of the null hypothesis in soft psychologyNiels G. WallerDepartment of Psychology and Human Development, Vanderbilt University, #512 Peabody, Nashville, TN 37203, USAAbstract
Minnesota - MEAS - 08
A 14th Way to Look at a Correlation Coefficient: Correlation as the Proportion of Matches Michael J. Rovine; Alexander von Eye The American Statistician, Vol. 51, No. 1. (Feb., 1997), pp. 42-46.Stable URL: http:/links.jstor.org/sici?sici=0003-1305%2
Minnesota - MEAS - 08
Introductory Notes on Bayes Theorem and Probability Niels WallerWho was Thomas Bayes?Born 1702 in London, England. Died April 7, 1761, in Turnbridge Wells, England. Surprisingly little is known about Reverend Thomas Bayes, the author of Bayes Theo
Minnesota - MULT - 09
Screening Data Most statistical methods were designed for variables that are normally distributed. This is especially true for signicance tests. As the data depart from the ideal of normality, these tests are increasingly inaccurate. Furthermore, the
Minnesota - MULT - 09
Niels Waller: Notes on DeterminantsDeterminants: Getting to Know youIn an earlier lecture I mentioned that a matrix determinant was the matrix analogue of a variance. In these notes I want to pursue that idea further with some examples that should
Minnesota - MEAS - 08
IHE TEN COAI.^I.A,'G?3 OF SAF' HU TFlN:ieit{,e : .".'-c =-Und_l.iii r-_:Nev.f. Ne'e. D. i.i nb sfo: a ": a' ._: : : : :_ -:_: -n ! tr!'.:':Publkhed ByJacobSchmidiIr5r" b.-d.ol" -"o.-1." '.e a .mp lle dnd iti:s {lde I frihiid cds!d y .tci!'
Minnesota - MULT - 09
Multivariate Statistics Niels Waller Notes on Principal Components and Factor Analysis In these notes we will take a closer look at the Principal Components analysis and Factor Analysis models with the following goals in mind: 1. to illustrate the ma
Minnesota - MEAS - 08
Applied Psychometrics: Homework Assignment # 1Validity and Test DevelopmentThis assignment draws on the readings from Crocker & Algina and the following articles: Cronbach & Meehl, Loevinger, and Campbell & Fiske.Definitions: 1) Predictive vali