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500 SPHSC Autumn 2008 Clinical Methods Lesley B. Olswang, Ph.D. Who to Treat What to Treat Example Example Baby with moderate to severe motor impairments 10-24 months Nonverbal Non-communicative What would you do? Where would you start? Standardized Assessment Bayley Scales of Infant Development (Bayley) Mullen Scales of Early Learning (Mullen) Communication and Symbolic Behavior Scales (CSBS) Early Social Communication Scales (ESCS) MacArthur Communicative Development Inventories (CDI) Vision and Hearing Nonstandardized Assessment Observation Dynamic Assessment Elicitation Tasks Probes What will you focus on? Developmental Model What behaviors would you expect to see? What behaviors would you hope were developing? Theory Preverbal Development Broad Strokes Bates, Camaioni, and Volterra (1975) Perlocutionary Stage child s involuntary/reflexive movements, orienting or reacting to environmental stimuli interpreted entirely by the listener (adult) Illocutionary Stage child intentionally uses nonverbal signals to convey communicative function Locutionary Stage child uses conventional symbolic signals or forms (signs, words, sentences) to convey communicative intention Austin (1965) Speech Acts: Perlocutionary Listener s interpretation of the communicative intention for the act Illocutionary Speaker s actual communicative intention for the act Locutionary Communicative intention carried by the linguistic form Austin Speech Acts-Example Is your mother home? (social situation) Locutionary request for information Illocutionary request for information and action Perlocutionary either of the above depending upon the listener s abilities Perlocutionary Illocutionary Prior to first words 0 7 mo 8 12 mo Locutionary Words + 1;0 12;0 Social communication changes along this broad developmental timeline Perlocutionary Signals Nature of Interaction Context Illocutionary Signals Nature of Interaction Context Locutionary Context Nature of Interactio n Preverbal Social Communication Development from Perlocutionary Why is it important? How does this happen? Illocutiona ry Social engagement and joint attention capacity to share attention and information with someone about an object, an event, an emotion, or an idea. PREMISE: Social Engagement Joint Attention Social engagement and joint attention are fundamental to participation in most, if not all, human social interactions and social learning situations (Mundy & Acra, 2006) Joint Attention in Infancy what are we talking about Following the direction of gaze, head turning, and/or pointing gesture of social partner Responding to Joint Attention (RJA) Child s using gaze and/or gestures to spontaneously initiate joint attention with social partner Initiating Joint Attention (IJA) - Protodeclarative Child s using gaze and/or gestures to elicit aid in obtaining an object or event Initiating Behavior Regulation/Requests (IBR) Protoimperative Child taking turns with social partner Child expressing emotion with social partner Why is Joint Attention Shared Eye Gaze Important Joint attention skills reflect the ability to engage with others in a manner that facilitates selforganizing and thus social learning Joint attention constitutes a form of early engagement that is integral to the development of understanding other s thoughts, intentions, and feeling Joint attention holds some positive reward that motivates people to engage with others throughout the life span. Perlocutionary Development Limited Context Interaction with adults Limited interactions and limited behaviors looking, joint attention, cooing, early babbling Limited cognitive abilities Knowledge of self emerging awareness of others separate from self Perlocutionary Behaviors First month of life - face-to-face interactions predominate and as such, are at the core of development. Second month - infants begin to focus on the eyes and mouth of other people, and become distressed when presented with a still-face . Third to fourth months brief focus on objects, follow the gaze of adults, recognizes novel object Understanding self vs. others-pulling away at 4 months Improved head and trunk control Perlocutionary Behaviors continued Fifth to Sixth Months Sustained single focus on objects or adult (adding gestures and vocalizations) Dyadic Eye Gaze Reaches Explores Objects Scanning between objects (or even adult object) As child develops Illocutionary Stage Expanding Context Object manipulation, playing Expanding behaviors Gestures include reaching, showing, pointing, giving; vocalizations include vowels, CV consonants, combinations single behaviors then combined (e.g., gaze + gesture + vocalization) clearer signals Knowledge of others Objects (including people) Knowledge of relations Object relations (agency) Events Attributes Locations Illocutionary Behaviors ~Seven to Nine Months Shifting or coordinated attention between object/adult/object Triadic Eye Gaze (three point gaze shift) Secondary intersubjectivity Intentionality ~Nine to Ten Months Triadic Eye Gaze with gestures and vocalizations clearer communication Pulls cloth to get a toy Searches Triadic Eye Gaze Defined Shifting eye gaze between adult and an object to request or comment. ADULT SHIFT OBJECT INFANT Triadic Eye Gaze Coordinated Joint Attention Behavior with strongest relationship to emerging language and social skills Behavior that has been viewed as the most convincing indication of intentional communication Reflecting knowledge of self and others (others as communicative partners and agents of action) Behavior that is most often problematic in children with disabilities Perlocutionary to Illocutionary How does this happen? NATURE NURTURE Neurological maturation Caregiver-Infant interaction Perlocutionary to Illocutionary Wonderful dance between child and adult: Recognizing and responding to child s unintentional behaviors shaping them into Signals that can be read by parents (and others) Signals that facilitate interactions, which ultimately shape learning and neurological development (Locke; Mundy;Tomasello; Trevarthen; Dunst) Infant early signals are extremely important; they: Facilitate immediate communication Facilitate attachment Facilitates social engagement They ultimately provide the stimuli for caregivers to recognize, respond to and thus reinforce. Emerging Intentional Communication Perlocutionary Illocutionary Child s Intentional Shaped Into unintentional Communicative behaviors, Behaviors recognized and While concurrently facilitating infant s neurological responded to growth and development by the caregiver Early Communication Signals: Sustained eye gaze toward adult (dyadic gaze) Sustained eye gaze toward object (dyadic gaze) Early vocalizations cooing Tracking objects Early gestures leaning/reaching Following gaze following pointing and gaze Expanding Gestures -- Showing, Pointing, Giving Expanding vocalizations C, V, CV, CVCV Dyadic eye gaze + gestures + vocalizations Gaze shift between objects Gaze shift + gestures + vocalizations Gaze shift + gestures + vocalizations Gaze shift between object and adult Gaze back and forth between object and adult (object-adultobject/adult-object-adult) (triadic eye gaze) Triadic alone Triadic + gestures + vocalizations Child with disabilities http://content.sphsc.washington.edu/public/image/852.wmv http://content.sphsc.washington.edu/public/image/848.wmv So .What to focus on Observation Dynamic Assessment Elicitation Gestures Eye Gaze Vocalization Early Communication Signals: Sustained eye gaze toward adult (dyadic gaze) Sustained eye gaze toward object (dyadic gaze) Early vocalizations cooing Tracking objects Early gestures leaning/reaching Following gaze following pointing and gaze Expanding Gestures -- Showing, Pointing, Giving Expanding vocalizations C, V, CV, CVCV Dyadic eye gaze + gestures + vocalizations Gaze shift between objects assessment and treatment benchmarks Gaze shift + gestures + vocalizations Gaze shift + gestures + vocalizations Gaze shift between object and adult Gaze back and forth between object and adult (object-adultobject/adult-object-adult) (triadic eye gaze) Triadic alone Triadic + gestures + vocalizations Developmental/Normative Determine level of functioning Consider severity Consider developmental hierarchy Possible target what is critical for this developmental (age) level Profile communication (form, content, use; syntax, semantics, phonology, pragmatics) (receptive/expressive)(verbal/nonverbal) Developmental/Normative Consider the WHO Readiness (Zone of Proximal Development) Prerequisites/precursors Cognition Motor Sensory Social/Emotional Building block for other behaviors/skills Generalization Who and What to treat Who to treat Child and adult/caregiver What to treat Triadic Eye Gaze as ultimate goal/objective For joint attention (following, initiating, behavior regulation) What is expected Facilitation? Induction? Where to start treatment? What behaviors are missing? Consider other domains cognition, motor, sensory
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500 Course Intro.pdf
Path: Washington >> SPHSC >> 500 Fall, 2008
Description: SPHSC 500 Autumn 2008 Clinical Methods Lesley B. Olswang, Ph.D. Introduction Course Content What is the role of the SpeechLanguage Pathologist Fundamental concepts of treatment Data collection for monitoring change and decision-making Course App...
Audibility and sound measurement.ppt
Path: Washington >> SPHSC >> 509 Fall, 2008
Description: Audibility and sound measurement SPHSC 509 Lecture 1 Example: dB HL, dB SL Example: dB HL, dB SL Effect of transducer kHz .25 .5 .75 1 1.5 2 3 4 6 ER3 22 18 16 16 17 21 23 24 25 TDH 18 13 10 10 10 15 17 15 18 Sf 0 deg 15 8 7 6 8 7 1 1 17 50 45 40 ...
intensity.assignment.doc
Path: Washington >> SPHSC >> 509 Fall, 2008
Description: SPHSC 509 Assignment for intensity and loudness 1. jnd for intensity Use the auditory interactivities program, Lesson 3, interactivity 2. This is a 3AFC task with the jnd expressed as delta L. Measure your jnd as a function of overall intensity at 1 ...
dir_mic_lab.doc
Path: Washington >> SPHSC >> 582 Fall, 2008
Description: SPHSC 582 WINTER 2006 LAB 7: DIRECTIONAL MICROPHONES PART I - Phonak Savia Software Questions -Connect the Phonak Savia to the HiPro box using the appropriate cords/cables -Open NOAH and recall your patient, enter a sloping audiogram of your choice -...
Lab_6_Noise_Reduction_Aids.doc
Path: Washington >> SPHSC >> 582 Fall, 2008
Description: SPHSC 582: WINTER 2006 Lab 6 Noise Reduction Aids Tips: Remember that using the Multicurve option on the test box allows you to compare different curves at the same time Remember that the Help option on the manufacturers software is helpful For this ...
lab7.htm.doc
Path: Washington >> SPHSC >> 582 Fall, 2008
Description: SPHSC 582 Winter 2004 Lab 7: Compression Definitions INPUT-OUTPUT (I/O) CHARACTERISTICAn input-output characteristic is a set of output levels, generated as a function of input level, for a fixed input frequency (or frequency band). For tolerance pur...
lab_prog1.doc
Path: Washington >> SPHSC >> 582 Fall, 2008
Description: SPHSC 582: WINTER 2006 Lab 2 Hearing Aid Programming I To gain access to hearing aid programming, 5 main hardware/software components are necessary: 1) Hearing aid A hearing aid that can be programmed is either digitally programmable or digital. This...
lab_verification_1_linear.doc
Path: Washington >> SPHSC >> 583 Spring, 2008
Description: SPHSC 583 Lab 6 Spring 2005 Verification I: Matching Target/Linear Aids *Be sure and bring your listening ear mold to lab* 1. Using either the FP40 or Verifit equipment, enter a hearing loss for your patient. It can be a flat, sloping or rising co...
lab_2cc_targets.doc
Path: Washington >> SPHSC >> 583 Spring, 2008
Description: SPHSC 583 Hearing Aid Selection Lab #3 Topics: REUR, NAL-R 2cc target Part I: Enter the audiogram Suppose your patient has the following audiogram: 500 Hz: 30 dB HL, 1000 Hz: 30 dB HL, 2000 Hz: 40 dB HL, 3000 Hz: 50 dB HL, 4000 Hz: 50 dB HL. - Enter...
Hubio 563 Readings and Objectives.doc
Path: Washington >> HUBIO >> 563 Fall, 2008
Description: Hubio 563 Readings and Objectives Lectures: Mental Status Exam and Interviewing Reading: Chapter 2, The Psychiatric Evaluation Chapter Review 1. Review Table 2-1 Elements of the Psychiatric History Table 2-1 Elements of the psychiatric history Idenif...
GW_Petition_Park_report_1998.pdf
Path: Washington >> STAT >> 111 Spring, 2008
Description: ...
Holdren2008_Science_Sustainability.pdf
Path: Washington >> STAT >> 111 Spring, 2008
Description: ASSOCIATIONAFFAIRS PRESIDENTIAL ADDRESS Science and Technology for Sustainable Well-Being John P. Holdren entails pursuing sustainable development to achieve well-being where it is now most conspicuously absent, as well as converting to a sustainab...
Hoegh_Guldberg_2007_Coral_reefs.pdf
Path: Washington >> STAT >> 111 Spring, 2008
Description: Coral Reefs Under Rapid Climate Change and Ocean Acidification O. Hoegh-Guldberg, et al. Science 318, 1737 (2007); DOI: 10.1126/science.1152509 The following resources related to this article are available online at www.sciencemag.org (this informati...
exam1.pdf
Path: Washington >> STAT >> 321 Winter, 2008
Description: Case-based Social Statistics I CSSS 321 Winter 2003 First Examination Exam: Friday, February 14, 10:30am - 11:25am Professor: Mark S. Handcock Name: 1. Please write your name in the above space. 2. You need to do 2 of the 3 questions. All questions...
syllabus.pdf
Path: Washington >> STAT >> 321 Winter, 2008
Description: Case-based Social Statistics I Winter 2007 Professor: Mark S. Handcock Syllabus MOS Mind on Statistics text. CHS A Casebook for a First Course in Statistics text. Lecture Date Topics Readings 1 2 Introduction to Statistical ideas: Why Statistic...
practice1.pdf
Path: Washington >> STAT >> 322 Spring, 2008
Description: Case-based Social Statistics II CSSS 322 Spring 2002 Practice First Examination Exam: Tuesday, May 7, 10:30am - 12:00pm Professor: Mark S. Handcock Name: 1. Please write your name in the above space. 2. You need to do all 4 questions. All questions...
hw5.pdf
Path: Washington >> STAT >> 322 Spring, 2008
Description: Case-based Social Statistics II CSSS 322 Professor: Mark S. Handcock Solutions to Homework 5 Due Thursday, May 16, 2002 Problems to be handed in: 1) In an article on crime in the United States, Newsweek magazine (January 10, 1994) quoted FBI statisti...
hw3.pdf
Path: Washington >> STAT >> 322 Spring, 2008
Description: Case-based Social Statistics II CSSS 322 Professor: Mark S. Handcock Homework 3 Due Thursday, April 25, 2002 Problems to be handed in: 1) In a random sample of 725 selected for interview from a population of 13,916 teachers in Washington, 113 said th...
fin.pdf
Path: Washington >> STAT >> 394 Fall, 2008
Description: ...
AEESP-stat-analysis.pdf
Path: Washington >> STAT >> 486 Fall, 2008
Description: Statistics Statistics for Analysis of Experimental Data Catherine A. Peters Department of Civil and Environmental Engineering Princeton University Princeton, NJ 08544 Statistics is a mathematical tool for quantitative analysis of data, and as such i...
Problems1003.doc
Path: Washington >> STAT >> 491 Fall, 2008
Description: STAT 491 Group problems 10/3 1. Consider 2a molecules diffusing through a membrane. Let Xn be the number of molecules to the left of the membrane. At each time, one of the 2a molecule is chosen at random and moved to the other side of the membrane ...
sln.hw2.doc
Path: Washington >> STAT >> 491 Fall, 2008
Description: STAT/MATH 491 Solutions to homework 2. 5.4.1 E(Z m Zn) = . Now given that Zm = k, Zn can be thought of as k independent chains of length m n. Thus E(Z n Z m = = = so E(Z m Z n ) = ( ) = . Hence Cov(Z m , Z n ) = = ...
CA.trend.coef.matrix.txt
Path: Washington >> STAT >> 498 Fall, 2008
Description: 060370002,2.93443293273918,-6.60175212411867,1.46086781027834 060371002,3.03280812436641,-6.44671558582038,-1.66919019159562 060371103,2.99947555742709,-6.23861259473043,-1.0092641065844 060371201,2.79750673204645,-6.36486904517982,-0.838880577044036...
CA.lcovar.subset.txt
Path: Washington >> STAT >> 498 Fall, 2008
Description: ID2,LAT,LONG,LANDUSE,PopDens,m_to_a1,m_to_a2,m_to_a3,m_to_commerc,xlamb2,ylamb2 060370002,34.13650,-117.9230,Indust, 9.250915, 7.503247,7.190049,7.660713,6.2324031, -22.4479346, -1.542679 060371002,34.17600,-118.3170,Comm_serv, 9.346770, 7.368975,9.3...
HW506Sol3.pdf
Path: Washington >> STAT >> 506 Spring, 2008
Description: Stat 506, Homework set #3 Due Monday April 21, 2008 From Casella and Berger. 3.3; 3.7; 3.9; 3.20 and 3.23 Solution to Casella and Berger 3.3 Let Xi be the indicator function of the event a car is passing during the i-th second, where we start counti...
hw5.pdf
Path: Washington >> STAT >> 506 Spring, 2008
Description: Computer Environments for Social Scientists CSSS 506 Professor: Mark S. Handcock Solutions to Homework 5 Due Tuesday, March 5, 2002 1) The data frame hills contains the results from the Scottish hill races. The data set is taken from Staudte and Shea...
512 Info.doc
Path: Washington >> STAT >> 512 Fall, 2008
Description: STAT512:STATISTICALINFERENCE AUTUMN2007 Instructor: MichaelPerlman,Dept.ofStatistics,Box354322 Office:B310PadelfordHall(mailboxinB313) Phone:5437735 email:michael@stat.washington.edu Officehours:afterclassorbyappointment MWF10:3011:20,Sieg225. Th10:3...
Rcode.txt
Path: Washington >> STAT >> 516 Fall, 2008
Description: Example R Sessionx <- 1:5xy <- 11:15x+yz <- c(10,6,3,5,1)zhelp(seq) seq(from=3,to=7,by=2)seq(3,17)seq(14,2)seq(1,2,.1)help(rep)rep(1,5)rep(1:5,3)temp <- c(2,1,5,9)temp.3 <- rep(temp,3)temp.3rep(c(seq(2,10,2),seq(1,9,2),2)temp.3[3] temp.3[5:7]temp.3[c...
Spatial4.ppt
Path: Washington >> STAT >> 518 Spring, 2008
Description: SpatialStatisticsIV Stat518Sp08 Estimationof variograms Recall (v) = s (1 r (v) Methodofmoments:squareofallpairwise differences,smoothedoverlagbins 2 (h) = 1 N(h) i,j N(h) (Z(s i ) Z(s j )2 N(h) = (, : ) + 2 2 Problems:Notn...
spatial1.ppt
Path: Washington >> STAT >> 518 Spring, 2008
Description: Spatialstatistics STAT518Sp08 Researchgoalsin airqualityresearch Calculateairpollutionfieldsforhealth effectstudies Assessdeterministicairqualitymodels againstdata Interpretandsetairqualitystandards Improvedunderstandingof complicatedsystems Predict...
Spacetime.ppt
Path: Washington >> STAT >> 518 Spring, 2008
Description: Spacetimestatistics STAT518 Sp08 Spacetimeprocesses Separablecovariancestructure: Cov(Z(x,t),Z(y,s)=C1(x,y)C2(s,t) Nonseparablealternatives Temporallyvaryingspatial covariances Fourierapproach Completelymonotonefunctions SARMAPstudy Spatialcor...
524-07s.pdf
Path: Washington >> STAT >> 524 Spring, 2008
Description: ...
CATHEEK STAT 534 HW #1.txt
Path: Washington >> STAT >> 534 Fall, 2008
Description: #-#-#Cathee Kneeling #STAT 534 #Homework #1, Due 4/11/2006 #--#-# Pull in source files directory <- \"http:/www.stat.washington.edu/catheek/stat534/HW#1\" lib.filename <- \"home1-make-data-lib-3-30-05.txt\" lib.pathname <- paste(directory, lib.filename, ...
CATHEEK STAT 534 HW #5.txt
Path: Washington >> STAT >> 534 Fall, 2008
Description: #-#-#Cathee Kneeling #STAT 534, Werner Stuetzle #Homework #5, Due 5/16/2006 #--#-#-#--# cost function calculates minimum total cost # and completes knowncost matrix # i = index of vector v1; j = index of vector v2 #-#--cost = function(i, j, v1, v2) {...
syllabus.pdf
Path: Washington >> STAT >> 535 Fall, 2008
Description: Course Syllabus: BIOSTAT/STAT 535 Statistical Computing Autumn Quarter 2008 Adrian Dobra, Assistant Professor, Statistics, CS&SS and BNHS adobra@u.washington.edu September 30, 2008 Class room The class meets Tuesday and Thursday between 11:30am and ...
535-07au.pdf
Path: Washington >> STAT >> 535 Fall, 2008
Description: ...
538-08wi.pdf
Path: Washington >> STAT >> 538 Fall, 2008
Description: ...
550-07au.pdf
Path: Washington >> STAT >> 550 Fall, 2008
Description: ...
560syll.pdf
Path: Washington >> STAT >> 560 Fall, 2008
Description: Preliminary Battle Plan CSSS/POLS/STAT 560: Hierarchical Modeling for the Social Sciences Professor: Kevin Quinn, Political Science and CSSS Winter Quarter 2002 Class Room Oce 2:30-4:00 PM Tuesday and Thursday 313 Savery C-14-C Padelford Hall Phone...
lec3bw.pdf
Path: Washington >> STAT >> 560 Fall, 2008
Description: 1 CSSS 560 Lecture 3: Review of the Linear Regression Model (Part II) Kevin Quinn University of Washington 2 Outline Residual Diagnostics Leverage and Inuence Example 3 Residual Diagnostics In deriving the sampling properties of the OLS es...
lec1bw.pdf
Path: Washington >> STAT >> 560 Fall, 2008
Description: 1 CSSS 560 Lecture 1: What is Clustered Data and How Should it be Analyzed? Kevin Quinn University of Washington 2 Examples of Clustered Data Multilevel (contextual) data Longitudinal (panel) data Repeated measures data Data collected via cl...
FigHW3.pdf
Path: Washington >> STAT >> 567 Fall, 2008
Description: Earnings of Black Women 0.06 0.06 Earnings of Black Women 0.05 default=SheatherJones 0.05 h=2 h=10 0.04 Probability Probability 0 20 40 60 80 0.03 0.02 0.01 0.00 0.00 0 0.01 0.02 0.03 0.04 20 40 60 80 Earnings (thousands of doll...
lec2plots.pdf
Path: Washington >> STAT >> 567 Fall, 2008
Description: Betty Dick Sally Harry Tom Sally Tom Harry Dick Betty ...
friends.pdf
Path: Washington >> STAT >> 567 Fall, 2008
Description: Krackhardts Hightech Managers friends network q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q Trace of var1 10 Density of var1 Density 0e+00 3e+05 Iterations 6e+05 5 10 15 20 0.00 20 0.02 0.04 0.06 0 0.08 ...
FigHW5.3.pdf
Path: Washington >> STAT >> 567 Fall, 2008
Description: Linear Quantile Regression 11.5 11.5 Spline Quantile Regression 11.0 10.5 Logearnings 10.0 Logearnings observed quantiles quantile regression lines 9.5 9.5 10.0 10.5 11.0 observed quantiles quantile regression splines 9.0 9.0 70 75 80...
570-Day-2.pdf
Path: Washington >> STAT >> 570 Fall, 2008
Description: Stemming Tokenizing suffixes irrelevant Porter Stemmer, simple and efficient Website: http:/www.tartarus.org/...
573.pdf
Path: Washington >> STAT >> 573 Fall, 2008
Description: ...
576-07s.pdf
Path: Washington >> STAT >> 576 Fall, 2008
Description: BIOSTAT/STAT 576 Statistical Methods for Survival Data MW 9:00am - 10:20am, Spring 2007; HST T530 Instructor: Ying Qing Chen Tel: 206.667.7051 Email: yqchen@u.washington.edu Oce hour: Th 2:30pm - 3:30pm; H657 Course Web Site: http:/www.scharp.org/u...
576.pdf
Path: Washington >> STAT >> 576 Fall, 2008
Description: ...
579-07au.pdf
Path: Washington >> STAT >> 579 Fall, 2008
Description: ...
579-08su.pdf
Path: Washington >> STAT >> 579 Fall, 2008
Description: ...
579-08sp.pdf
Path: Washington >> STAT >> 579 Fall, 2008
Description: ...
581.day1.08.pdf
Path: Washington >> STAT >> 581 Fall, 2008
Description: STATISTICS 581: Advanced Theory of Statistical Inference Fall, 2008 Time: Place: Professor: Oce: Phone: e-mail: Oce Hours: Texts: 10:30 - 11:20 MWF (lecture) MEB 245 Jon A. Wellner B320 Padelford 206-543-6207 jaw@stat.washington.edu 1:30 - 3:30 MWF...
ref.08.pdf
Path: Washington >> STAT >> 581 Fall, 2008
Description: References for Statistics 581, Fall 2008 Analysis: Bartle, R. G., The Elements of Integration. Rudin, W., Principles of Mathematical Analysis. Royden, H. L., Real Analysis. Luenberger, D., Optimization by Vector Space Methods. Probability: Will...
ch2.figs-epsf.pdf
Path: Washington >> STAT >> 581 Fall, 2008
Description: Statistics 581, Chapter 2 Empirical Distribution Function and Empirical Process Figures Wellner; 10/24/2008 1 0.8 0.6 0.4 0.2 0.2 0.4 0.6 0.8 1 Figure 1: Uniform Empirical Distribution Function, n = 50. 1 0.75 0.5 0.25 0.2 -0.25 0.4 0.6...
exam1.06.pdf
Path: Washington >> STAT >> 581 Fall, 2008
Description: Statistics 581, Midterm Exam Wellner; 11/06/2006 This exam is to be taken without any books or notes. 1. (24 points) Dene any three of the following ve terms. (a) A uniformly integrable sequence of random variables. (b) Convergence in rth mean of a...
mt03.pdf
Path: Washington >> STAT >> 582 Fall, 2008
Description: Stat 582 W03 Midterm exam Please give as complete solutions as possible. More paper is available if needed. 1. Let (X,Y) be bivariate normal, mean zero, variance 1, correlation r. Find a minimal sufficient statistic for r. Is it complete? 2. Suppo...
final2.89.pdf
Path: Washington >> STAT >> 582 Fall, 2008
Description: STAT 582 FINAL EXAM 1. Let T (F) = m 2 = ( xdF(x)2 . Find, using the asymptotic theory for statistical functionals, the limiting F distribution of T (F n ) when m F 0. 2. Let (X 1 , Y 1 ), . . . , (X n , Y n ) be independent random variables with ...
gamma.pdf
Path: Washington >> STAT >> 582 Fall, 2008
Description: ...
hw1.sln.doc
Path: Washington >> STAT >> 583 Fall, 2008
Description: STAT583 Sp04 Homework1solution 1. (a)(c) E X i - m = 2 xdF(x) = d 2 2 s (1+ 2e) and (1- e)s + 3es ) = p p 0 E(X - m) 2 = s 2 (1+ 8e) .Standardasymptotictheoryhasthat n ( s2 - s 2 (1+ 8e) N(0,t 2 ) where 2 = E(X - m) 4 - E 2 (X - m) 2 = s 4 (3...
notes1.pdf
Path: Washington >> STAT >> 583 Fall, 2008
Description: STAT 583 SPRING 2008 Lecture Notes 1 Statistical Functionals The Gteux derivative of a statistical functional T(F) is the limit T (F + (G F ) T(F) . d1T(F;G F) = lim If Q( ) = T (F + (G F ) has a McLaurin expansion, we get an expansion (the von...
hw3.sln.pdf
Path: Washington >> STAT >> 583 Fall, 2008
Description: STAT 583 Sp08 Solutions, Homework 3 1. (a) T (F! ) = F + !(G \" F ) so IC(x) = x ! F . (b) By the same calculation as that for the median we get p ! 1(x < F !1 ( p) IC(x) = , x \" F !1 ( p) !1 f (F ( p) d 1 T (F + !(\" x # F) = (c) Using (b) d! 1 ...
HW2.pdf
Path: Washington >> STAT >> 583 Fall, 2008
Description: STAT 583 Sp08 Homework 2 Due April 16. 1. Let F be a cdf on [0,1], and define for ! > 1 T (F) = x\"[0,1] # ( F(x) ! F(x!) $ . (a) Compute the Gateux derivative of T at the uniform distribution U on [0,1]. (b) Show that nR1,n = n(T (Fn ) ! T (U ...
homework.pdf
Path: Washington >> STAT >> 592 Fall, 2008
Description: Homework problems (more problems will be added as we go along) Stat 592, W09 1. For a stationary random field Z(s); s !D \" R 2 , observed at sites s1,.,sn, derive the unbiased linear estimator with the smallest variance. Hint: Use a Lagrange multipli...
Lec1.ppt
Path: Washington >> STAT >> 592 Fall, 2008
Description: NRCSE SpatialStatisticalMethods peter@stat.washington.edu www.stat.washington.edu/peter/592 STAT592A(UW)526(UBCV) 8904(SFU) Coursecontent 1.Kriging 1.Gaussianregression 2.Simplekriging 3.Ordinaryanduniversalkriging 4.Effectofestimatedcovariance 5....
syllabus.pdf
Path: Washington >> STAT >> 593 Fall, 2008
Description: Course Syllabus: STAT 593 Modern Topics in Discrete Multivariate Analysis Spring Quarter 2008 Time and Location When: 10:30am-11:50am Tuesday and Thursday Where: TBA Instructor Adrian Dobra Oce: Padelford Hall B-303 E-mail: adobra@u.washington.edu ...
LECT 14.ppt
Path: Washington >> HUM >> 202 Fall, 2008
Description: Lecture 14: October 27, 2006 Questions Reading Lyrical Ballads (1798), published Anonymously; 3 poems by Coleridge; 20 poems by Wordsworth Preface added in 1800 2nd edition Lyrical Ballads: not just an experiment but a poeti...
2007-2008 HUM 204 Syllabus.pdf
Path: Washington >> HUM >> 204 Fall, 2008
Description: HUM 204 The Role of Perspective in History, Science, and Design Fall 2007 Lecture Meeting Times: Monday and Wednesday 12:30-1:50 Lecture Classroom: Kane 110 Instructors: Axel Roesler, Interaction Design Email: roesler@u.washington.edu Office Hours:...
MolCellEndo_2000_Spermatogonial_Transplantation_Update_Millennium.pdf
Path: Washington >> HUM >> 207 Winter, 2008
Description: Molecular and Cellular Endocrinology 161 (2000) 117 120 www.elsevier.com/locate/mce Spermatogonial transplantation an update for the millennium Lonnie D. Russella *, Michael D. Griswoldb a Department of Physiology, School of Medicine, Southern Il...
2007-2008 HUM 208 syllabus.pdf
Path: Washington >> HUM >> 208 Fall, 2008
Description: HUMANITIES 208: VIOLENCE, MYTH, AND MEMORY (SPRING 2008) Tuesday and Thursday 1:00-2:20, Johnson Hall 102 Francisco Benitez (Comp Lit) and Laurie Sears (History) TAs: Cheryll Alipio, Katrina Hagen, William Mitchell \"Violence, Myth, and Memory\" is bui...
