Documents Found!
As seen in
Less Work, Better Grades
Join
Course Hero
Access
best resources
Ace
your classes
Ace your courses with Course Hero!

Submit your homework question or assignment here:
352 Tutors are online
 
We are so confident that you will love our service, we will answer your first homework question for FREE!
*  Attach Assignment (optional):
 
Study Smarter, Score Higher
 
Document Content (unformatted)
Course Hero has millions of student submitted documents similar to the one below including study guides, homework solutions, papers, exam answer keys and textbook solutions.
to Threats Aquatic Biodiversity Threats to Freshwater Species 20% of freshwater fishes extinct or in serious decline Extinct/at-risk salmon/steelhead runs outnumber healthy by 3:1 In CA, 57% of fish species are extinct or declining (Moyle and Williams) Aquatic species worse-off than terrestrial Top 6 stressors (most aquatic species face multiple threats): 1) 2) 3) 4) 5) 6) Habitat removal/damage Invasive species (limit recovery more than historical) Altered sediment loads Altered hydrologic regime (flow, depth, temperature) Altered nutrient inputs Toxic contaminants (limit recovery more than historical) Top 4 sources: Agriculture (56%); Municipal land-use (34%); Power generation (21%); Exotic species (18%--higher for current source) Agricultural non-point pollution perceived as bigger threat in East; invasive species and loss of surface water bigger in West Endangered Species Act of 1973: Part A Section 4: Listing, critical habitat designation, recovery plans Listing Initiated by private actors through petition or FWS (NOAA Fisheries for marine species) through candidate conservation program Species will then be listed as either threatened or endangered FWS promulgated regulations that automatically extend endangered protections to threatened species Critical Habitat Specific geographic area essential for species recovery that may require special management/conservation Federal agencies required to consult FWS on projects that affect critical habitat; private landowners not affected Recovery plans: The Measure of Success FWS tries to develop recovery plan 2.5 years after listing, but usually takes longer Many questions about adequacy of recovery plans Endangered Species Act of 1973: Part B Section 7: Jeopardy Federal agencies prohibited from taking any action that would jeopardize a listed species or modify critical habitat Federal agencies must consult with FWS Formal consultation lead to biological opinion: Jeopardy or no jeopardy During 90-day consultation period, FWS develops reasonable and prudent alternatives for avoiding jeopardy Section 9: Prohibiting Take No person may take a listed species, or engage in trade Take : Harass, harm, pursue, hunt, shoot, wound, kill, trap, capture, or collect, or to attempt to engage in any such conduct. Extended by regulation to include habitat modification Habitat Conservation Planning Authorized by Section 10 of the ESA; 1982 Amendments Habitat Conservation Plan is a legally binding document, which details actions that a landowner must take to improve species habitat In return, landowner receives incidental take permit ; allows harm to species in areas not protected in HCP American River Steelhead and Chinook (King) Salmon Anadromous Fish Biology Species Chinook/king; coho/silver; sockeye/red; chum/dog; humpback/pink Also Steelhead and coastal cutthroat Anadromous fish return to their home streams to spawn; leads to genetic variation and specialized life-history strategies semelparous they die after spawning once (salmon). Iteroparous--Fish that can spawn more than once; return to the river several times (steelhead) Significant differences between age and seasonal timing of spawning, how far they go up river, how far the travel in open ocean Habitat requirements: Clean, cold water, overhead to protect juveniles, aerated gravel to hold eggs and provide dissolved oxygen Evolutionarily Significant Units Collection of one or more salmon populations that share similar genetic, ecological, and life history traits and have a different evolutionary trajectory from salmon in other ESUs. Salmon ESUs are considered to be "distinct population segments" under the federal Endangered Species Act (ESA). The biological definition of ESU set up by NMFS; biological definition for runs (although some ESUs encompass multiple runs) Threats to Anadromous Fish Historical Harvesting Patterns Cultural symbol in the Pacific Northwest One estimate says historic harvest by Native Americans in Columbia River was 42 million pounds; today, 5-8 million for all harvesting Native Americans had cultural institutions for harvesting European arrival creates open access fishery: fish traps, gillnetting, fish wheels, canneries, open water commercial State wildlife laws are first to respond; banning certain techniques and setting catch limits Treaties in place are supposed to preserve Native American fishing rights Hatcheries now produce majority of harvested fish; hatcheries important to fish production but reduce genetic diversity/fitness Current Threats Lots of regional variation (e.g., Sacramento river irrigation problems vs. Columbia) Mining, agriculture, logging blocking and silting streams Surface water impoundments (flow and temperature, Klamath) Dams (especially on Columbia; above Bonneville Dam, only 50 miles of freeflowing river; Grand Coulee Dam extinguished the big Chinooks) NW hydropower is cheap; but 75-85% loss of anadromous runs has major economic costs ($372 million annually?) Columbia River Land Use 21 Corps, 8 Reclam. Dams; BPA markets power Columbia Hundreds of other public smaller and private projects Generates 22,512 Megawatts, or 44.8% of energy demand River Major Dams The Coordinated Columbia River System Northwest Anadromous Fish Governance (Some of it!) Columbia River Compact (1918) Interstate Compact between Oregon and WA creates Columbia River Commission Sets fishing seasons from mouth of Columbia river up to McNary dam (280 river miles) Pacific Fishery Management Council (1976) Set up by the Magnuson-Stevens Fisheries act Governs ocean fishing in the exclusive economic zone 3-200 miles Boldt Decision (1974) Affirms treaty rights of Native Americans to traditional fisheries Native Americans allowed 50% or more of runs within traditional grounds; co-managers of fisheries Pacific Northwest Power and Conservation Act (1980) Sets goal of protecting anadromous fish co-equal with power Creates Northwest Power Planning Council: Interagency partnership for implementing fish conservation; oversees Bonneville Power Administration operations US-Canada Salmon Interception Treaty (1985) Abundance-based harvest limits on international stocks Cooperative restoration efforts Complements existing treaties about hydrosystem operations Pacific Northwest Coordination Agreement (1964; renewed 1997) Coordinates federal/non-federal annual operating plans for the entire Columbia River Power System System operation must be consistent with NFMS biological opinions; e.g., flow requirements; juvenile fish passage Fish Passage Facilities and USACOE Fish Mitigation Under 1995 NFMS Biological Opinion, Army Corp of Engineers implements Fish Mitigation Program (Funded by annual appropriations makes Corp personnel happy!) 1995 GAO identifies significant problems with implementation; delays, cost overruns (about 40% of mitigation projects) Subsequent biological opinions (2000; 2004) challenged by enviros; NFMS not examining without dams scenarios in 2004 2005: Judge orders NMFS to rewrite BiOp enforceable mitigation, consider no dams option, recovery as goal From 2006 remand of 2004 BiOP: Salmon Recovery Teams 26 of 52 Evolutionarily Significant Units of anadromous fish are listed threatened/endangered Development of recovery plans divided into geographically based Recovery Domains ; each domain contains one or more ESU Each sub-region has Technical Recovery Team to identify: 1) 2) 3) 4) 5) 6) Population and ESU de-listing criteria Habitat/fish abundance relationships Factors for decline and limiting factors for each ESU Early actions that are important for recovery; Research, evaluation, and monitoring needs; and Server as science advisors to groups charged with developing measures to achieve recovery. TRTs are Phase I of NMFS recovery strategy; Phase II will be some type of collaborative process for developing official recovery plans TRT efforts not very far along; some TRT not even appointed; plans not completed; recovery plans still a long way off Recovery Domains for Chinook ESU Washington State Local watershed collaborative groups submit draft Recovery Plans to NOAA Regional plans encompass multiple ESU NOAA can choose to adopt those plans as the official Recovery Plan Focus on cooperation, build on pre-existing salmon recovery efforts, and integrate local knowledge Integrates several other watershed programs supported by state legislation; funding for watershed plans and projects April 2005: NOAA accepts and releases the Draft Lower Columbia River Salmon Recovery Plan for public comment Puget Sound Shared Strategies Lower Columbia River Fish Recovery Board (Accepted recovery plan) ESU and Fish Hatcheries Should hatchery fish be included in population assessments of evolutionarily significant units? Hatchery fish can increase harvest of wild fish stocks, reduce genetic diversity, lower reproductive success Hatchery fish make up largest portion of ESU in many cases (numbers?) 2001 Alsea Valley Alliance vs. Evans: District Court says ESU is legit, but NOAA must consider influence of hatchery fish 2001 Alsea decision officially delists coho salmon and requires NFMS to develop new hatchery policy 2001: Environmentalists appeal Alsea, get temporary injunction on delisting 2004 court appeal upholds Alsea; court has not yet issued mandate for delisting Current status: NMFS recently released new hatchery policy and listing determinations reinstates Coho listing Target of Alsea decision 2005 Low Salmon Returns Columbia River Compact: Congressionally designated commission decides commercial fishing seasons for Oregon/Washinton 5/10/2005: 52,000 out of an expected 371,000 Chinook returned (14%) 5/4/2005: Only 533 salmon scale all eight major federal dams into Snake River; compared to 23,000 in 04 and 92,000 in 01 These Spring Chinook are the progeny of 1991 spawning adults 1991 had the highest level of escapement since Bonneville dam was built in 1938 Northwest states are closing their commercial fishing seasons!!! Cause? Drought? Open ocean conditions? Management? Predation? We may never know (or if we do nobody may ever agree!)
Find millions of documents here - Study Guides, Homework Solutions, Papers, Exam Answer Keys and more. Course Hero has millions of course related materials that will enable you to learn better, faster and get an A in all your courses.
Below is a small sample set of documents:

UC Davis >> ESP >> 172 (Fall, 2008)
Threats to Aquatic Biodiversity Threats to Freshwater Species 20% of freshwater fishes extinct or in serious decline Extinct/at-risk salmon/steelhead runs outnumber healthy by 3:1 In CA, 57% of fish species are extinct or declining (Moyle and William...
UC Davis >> ESP >> 169 (Fall, 2008)
Miles Burnett and Charles Davis, \"Getting Out the Cut: Politics and National Forest Timber Harvests, 1960-1995.\" Administration & Society V34 (May, 2002), pp. 202-228. GETTING OUT THE CUT: POLITICS AND NATIONAL FOREST TIMBER HARVESTS, 1960-1995 Intr...
UC Davis >> ESP >> 172 (Fall, 2008)
Miles Burnett and Charles Davis, \"Getting Out the Cut: Politics and National Forest Timber Harvests, 1960-1995.\" Administration & Society V34 (May, 2002), pp. 202-228. GETTING OUT THE CUT: POLITICS AND NATIONAL FOREST TIMBER HARVESTS, 1960-1995 Intr...
UC Davis >> ESP >> 169 (Fall, 2008)
Home on the Range: Open Access Historical Range Use Ideal ranch: Bottom land with water rights; adjacent public lands for grazing Western, arid public lands are bad range land; much greater acreage per cow is required (Edward Abbey says, 1 cow per mi...
UC Davis >> ESP >> 172 (Fall, 2008)
Home on the Range: Open Access Historical Range Use Ideal ranch: Bottom land with water rights; adjacent public lands for grazing Western, arid public lands are bad range land; much greater acreage per cow is required (Edward Abbey says, 1 cow per mi...
UC Davis >> ESP >> 169 (Fall, 2008)
1. Environmental Indicators Environmental indicators present scientifically-based information on the status of, and trends in, conditions in the natural and human environments. One definition of an environmental indicator is a discreet measure of o...
UC Davis >> ESP >> 172 (Fall, 2008)
1. Environmental Indicators Environmental indicators present scientifically-based information on the status of, and trends in, conditions in the natural and human environments. One definition of an environmental indicator is a discreet measure of o...
UC Davis >> ESP >> 169 (Fall, 2008)
Order Code RL30647 CRS Report for Congress Received through the CRS Web The National Forest System Roadless Areas Initiative Updated January 22, 2002 Pamela Baldwin Legislative Attorney American Law Division Congressional Research Service The L...
UC Davis >> SSC >> 107 (Fall, 2008)
SSC107 Fall 2000 Chapter 2, Page - 1 - CHAPTER 2. SOIL-WATER POTENTIAL: CONCEPTS AND MEASUREMENT Contents: Transport mechanisms Water properties Definition of soil-water potential Measurement of soil-water potential Soil-water retention curv...
UC Davis >> SSC >> 107 (Fall, 2008)
SSC 107, Fall 2001 Chapter 8 Page 8-1 Chapter 8 - Soil Temperature Factors affecting soil temperature Heat transfer processes Thermal conductivity and diffusivity Measurement of temperature Diurnal and annual cycles Heat capacity Heat flo...
UC Davis >> SSC >> 107 (Fall, 2008)
Soil Physics 107, Chapter 5 Page 5-1 Chapter 5 - Field Soil Water Regime Infiltration Redistribution and drainage Evaporation Infiltration Definition: Entry of water into soil through the soil surface. Also, infiltration is typically not stead...
UC Davis >> SSC >> 107 (Fall, 2008)
Lab 7 Infiltration data Dry Ring: Tank Diameter (D) 76.5 cm Width (W) 116 cm Length (L) 116 cm Height of Water in Tank: 92.5 cm Height of Constant Head 9 cm Wet Ring: Tank Diameter (D) 76 cm Width (W) 116 cm Length (L) 116 cm Height of Water in Tank...
UC Davis >> SSC >> 107 (Fall, 2008)
SSC 107 Problem set 3 Date: Oct. 18, 2002 Due: October 25, 2002 1. In which direction will water flow from A to B, B to A or no flow, if the following pieces of soil are placed in contact with each other? Why? A sand =0.4 a. B clay =0.2 b. A B...
UC Davis >> SSC >> 107 (Fall, 2008)
Sand Sand Columbia Columbia Columbia Sand ...
UC Davis >> SSC >> 107 (Fall, 2008)
SSC 107 Problem Set 1 Oct 2, 2002 Due: Oct 11, 2002 1) Calculate the pressure caused by a mercury column 30 cm high with a cross-sectional area of 2 cm2 . Give your answer in dynes cm-2 , atmospheres, bars, pascals and N m-2 . If water is used in th...
UC Davis >> SSC >> 107 (Fall, 2008)
Laboratory 1 - Saturated Hydraulic Conductivity Group: Name: b H2 = b= L= A= cm cm cm2 Soil Column A L H1 = t unit 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 V 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 t V Other U...
UC Davis >> SSC >> 107 (Fall, 2008)
...
UC Davis >> SSC >> 107 (Fall, 2008)
SSC 107 Soil Physics Dec. 1, 1999 Due Dec. 8, 1999 Problem Set #7 1. The CO2 vertical distribution in the crop root zone can be expressed as C g ( z) = 2 L z+ z + Co 2 Dm Dm Where Co is the CO2 concentration at the soil surface, Dm is the appare...
UC Davis >> SSC >> 107 (Fall, 2008)
SSC 107 - LABORATORY EXERCISE 8 Saturated Hydraulic Conductivity Introduction The saturated hydraulic conductivity of undisturbed field soil cores will be determined in the laboratory. Laboratory examination of saturated soil hydraulic conductivity ...
UC Davis >> STATS >> 100 (Fall, 2008)
...
UC Davis >> STATS >> 100 (Fall, 2008)
hlr : Not H o r t aa ~ m - f i w years qfltd f r p r i t m e f l -i m ~ . t h ~ ~ c jb rrp.\"7nefl- ;s ;k&-pend~*T d pki~ts s f 11.3 (a) SS(between) = SS(tota1) - SS(within) = 338.769 - 116 = 222.769. (...
UC Davis >> STATS >> 100 (Fall, 2008)
Just a quick reminder, homework is due IN CLASS on Wednesday, April 19. No homework will be accepted after class. ...
UC Davis >> STATS >> 100 (Fall, 2008)
...
UC Davis >> STATS >> 100 (Fall, 2008)
06.10 (a) = 31.720 mg; s = 8.729 mg; n = 5. The standard error of the mean is s 8.729 SEi = 3.904 = 3.9 mg. =z=y (b) The degrees of freedom are n - 1 = 5 - 1 = 4. The critical value is t.05 = 2.132. The 90% confidence interval for p is I (23.4,40...
UC Davis >> STATS >> 100 (Fall, 2008)
...
UC Davis >> STATS >> 100 (Fall, 2008)
...
UC Davis >> STATS >> 100 (Fall, 2008)
...
UC Davis >> STATS >> 103 (Fall, 2008)
...
UC Davis >> STATS >> 103 (Fall, 2008)
-, *u q m. , . . - 4 a .-.w . *.A . (\'A 6.0 I.). * . ...
UC Davis >> STATS >> 103 (Fall, 2008)
...
UC Davis >> STATS >> 103 (Fall, 2008)
...
UC Davis >> STATS >> 103 (Fall, 2008)
...
UC Davis >> STATS >> 103 (Fall, 2008)
...
UC Davis >> STATS >> 103 (Fall, 2008)
...
UC Davis >> STATS >> 103 (Fall, 2008)
...
UC Davis >> STATS >> 103 (Fall, 2008)
, LA- =(r K,: k - p , = O Cwv h=rd 6 F - p l 7\" C 1 W p 7,y w, 4%: p - p 2 - 0 C+g P2j ,/A /h ?py *, H3: /r - p.:f 0 h ,LJddr k rY,=a;,=s bJ-+v), @+ y + z ...
UC Davis >> STATS >> 103 (Fall, 2008)
...
UC Davis >> STATS >> 103 (Fall, 2008)
(X) \'AR ( (con c) Using the same procedure as in (b). =%=~=E(x) 27 (continued) (continued) c) Using the same procedure as in (b). X P(X, - - We know Pr (2 5 -2.33) is about .Ol. Thus, Pr (Z2 -2.33) is about .99. So, n must solve So n must ...
UC Davis >> STATS >> 103 (Fall, 2008)
- . .- 6 .V? . . . . . . . . . . . . + - d@y f . .8-8-Ld ( ( ( 4 7, . - $ 7 n*h ;l L C . 4(hu3,Arh4 6 ) . ~ -* ...
UC Davis >> STATS >> 103 (Fall, 2008)
...
UC Davis >> STATS >> 103 (Fall, 2008)
0 -2) ontinued c) I\'ve assumed the sixteen outcomesare equally likely. If heads were more likely than tails, this would not be true (e.g. Pr (H H H H ) > Pr (TTTT). (5-3) a) 2\' = 1024 1 - 1023 b) Pr (at least 1 head) = 1 Pr (0 heads) = 1 - - -1024...
UC Davis >> STATS >> 103 (Fall, 2008)
...
UC Davis >> STATS >> 103 (Fall, 2008)
...
UC Davis >> STATS >> 103 (Fall, 2008)
\" . . . . .\' . \"\' c., ~- . . 1 . . . . . .-. . , . - .! A \' . - . G w d. . . . . . . - . 1 . . (b) ,h, = S ZX. c 12S .-. . . XI -. b =_~ C . I , ,. . , ...
UC Davis >> STATS >> 103 (Fall, 2008)
2 ~ . .~ . * , , ._ . . . . . . . A n ~.-M_L-.eJ . 4hI -nWc . . ., ~ L*7C -~. . ~ J-Ax 5 #+,. ~ -~ AQM-J, ~. and 2%. . . . . . . . . . . hX~nd~- % h - h 4 v * -u I OShart - C v i M A .% P \' . :...
UC Davis >> STATS >> 103 (Fall, 2008)
...
UC Davis >> STATS >> 108 (Winter, 2008)
Fall 2008 Statistics 108 Homework 1 Due : October 10 1. (Problem 1.2) : The members of a health spa pay annual membership dues of $300 plus a charge of $2 for each visit to the spa. Let Y denote the dollar cost for the year for a member and X the nu...
UC Davis >> STATS >> 108 (Winter, 2008)
STA 108 : Fall 2008 Partial Solution : Homework 5 1. (Problem 3.16) (a) Note that the scatter plot has a generally decreasing trend, and that the points with smaller X values are more widely scattered than the points with larger X values. This closel...
UC Davis >> STATS >> 108 (Winter, 2008)
An Introduction to R Notes on R: A Programming Environment for Data Analysis and Graphics Version 2.3.1 (2006-06-01) W. N. Venables, D. M. Smith and the R Development Core Team Copyright Copyright Copyright Copyright Copyright c c c c c 1990 W. N...
UC Davis >> STATS >> 108 (Winter, 2008)
Fall 2008 Statistics 108 Handout 17 Use of extra sum of squares We considered standard multiple regression model: Yi = 0 + 1 Xi (1) + + p Xi (p) + i , i = 1, . . . , n, (1) where i have mean zero, variance 2 and are uncorrelated. Earlier w...
UC Davis >> STATS >> 108 (Winter, 2008)
Fall 2008 Statistics 108 Practice Final Show all work. Give appropriate justication wherever deemed necessary. 1. Crystals of certain chemical compounds are used in electronic devices. An investigator wanted to examine the relationship between the si...
UC Davis >> STATS >> 108 (Winter, 2008)
Plotting a Confidence Band Over a Scatterplot With Regression Line Assume you have the data set named Data from Problem 1.19, with explanatory variable named ACT and response variable named GPA. Assume further that you have fit a linear model to the ...
UC Davis >> STATS >> 108 (Winter, 2008)
Fall 2008 Statistics 108 Handout 12 Regression through the origin Sometimes due to the nature of the problem (e.g. (i) physical law where one variable is proportional to another variable, and the goal is to determine the constant of proportionality;...
UC Davis >> STATS >> 108 (Winter, 2008)
Conducting a Lack of Fit Test Assume you have the data set named Data from Problem 1.19, with explanatory variable named ACT and response variable named GPA. Assume further that you have fit a linear model to the data, and that the model is named Col...
UC Davis >> STATS >> 108 (Winter, 2008)
Fall 2008 Statistics 108 Handout 4 Inference in simple linear regression Fact : Under normal regression model (b0 , b1 ) and SSE are independently distributed and b0 0 b1 1 tn2 , tn2 , SSE 2 2 . n2 s(b0 ) s(b1 ) Condence interval for 0 and 1...
UC Davis >> STATS >> 108 (Winter, 2008)
Regression Inferences in R Assume you have the data set previously named Data from Problem 1.19, with explanatory variable named ACT and response variable named GPA. Assume further that you have fit a linear model to the data, and that the model is n...
UC Davis >> STATS >> 108 (Winter, 2008)
STA 108 : Fall 2008 Solution : Homework 1 1. We have Y = 300 + 2X . This is a mathematical relationship, since there is no uncertainty in the measurements and Y is exactly determined by X. 2. The standard assumptions referred to in the statement of t...
UC Davis >> STATS >> 108 (Winter, 2008)
Fall 2008 Statistics 108 Handout 3 Simple linear regression : example We consider the housing price data. Here Y = selling price of houses (in $1000), and X = size of house (100 square feet). The summary statistics are given below: n = 19, (Xi X)2 ...
UC Davis >> STATS >> 108 (Winter, 2008)
Extra Sums of Squares in R We will work again with the data from Problem 6.9, Grocery Retailer. Recall that after you fit a linear regression model, say Retailer, and obtain the ANOVA table using the function > anova.lm(Retailer) you get a row of sum...
UC Davis >> STATS >> 108 (Winter, 2008)
Fall 2008 Statistics 108 Solution : Homework 7 1. (Problem 5.15) : (a) 52 23 7 (b) The solutions for y1 and y2 are given by y1 y2 = = 52 23 7 1 0 11 44 1 8 y1 = y2 28 8 28 = 0 4 = 1 7 2 5 7 2 23 23 5 8 28 Thus the solution is y1 = 0 and y2 ...
UC Davis >> STATS >> 131a (Fall, 2008)
...
UC Davis >> STATS >> 131a (Fall, 2008)
...
UC Davis >> STATS >> 131a (Fall, 2008)
3,: f ,( r , j), r 6, (7, 9) &*a ( 9 , r ) . 1 9 , 6 ) , [ b , b ) , (bIr), ( b t j ) ] r,/W: Lh p 9p .:,Mii 16) zf 1 ad 2 ore mr61.4: (/,/,o~o,o), I , / , ~ ~ ~ ~ o ) , ( ~ ~ L O ~ C -I I, I,I ( I- o f 1 , I ) , ( 1t 1, ) 1, 0 ) 10 - ...
UC Davis >> STATS >> 131a (Fall, 2008)
\"I [o * * X<J ~rxg 3 , 3sxcJ- ...
UC Davis >> STATS >> 250 (Winter, 2008)
Lecture Notes on Multivariate Statistical Analysis (Contd.) 1 Decision theoretic formulation Let X denote a random variable whose distribution depends on an unknown parameter lying in a parameter space . Let d(X) denote an estimator of . A loss fun...
UC Davis >> STATS >> 250 (Winter, 2008)
University of California, Davis Department of Statistics Winter 2008 Statistics 250 High-dimensional Statistical Inference Instructor : Debashis Paul (MSB 4222, Phone: 530-752-5706); Oce hours: TR 10-10:50 AM; Email: debashis@wald.ucdavis.edu Lecture...
UC Davis >> STATS >> 250 (Winter, 2008)
Lecture Notes on Multivariate Statistical Analysis (Contd.) 1 Testing for a Normal mean Suppose that X1 , . . . , Xn are i.i.d. Np (, ), where is positive denite and unknown. We are interested in testing H0 : = 0 against H1 : = 0. In analogy with...
UC Davis >> FRE >> 021 (Winter, 2008)
State Pesticide Regulatory Agencies Appendix 6: State Pesticide Regulatory Agencies Updated: June 2003 from http:/ace.orst.edu/info/npic/state1.htm Compiled by: Julia McGonigle (TNC-Oregon volunteer) Alabama Alabama Department of Agriculture Division...
UC Davis >> FRE >> 022 (Fall, 2008)
State Pesticide Regulatory Agencies Appendix 6: State Pesticide Regulatory Agencies Updated: June 2003 from http:/ace.orst.edu/info/npic/state1.htm Compiled by: Julia McGonigle (TNC-Oregon volunteer) Alabama Alabama Department of Agriculture Division...
UC Davis >> FRE >> 021 (Winter, 2008)
WIMS Field Form: Weed Occurrence Basic Information ID code: Date: Weed Name: Location description: Data Recorder: Latitude: Longitude: Accuracy: _GPS1 (within 3 feet) Notes An arbitrary code, for connecting with Assessments and Treatments Enter date...
What are you waiting for?